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Lead Big Data Engineer | $121K-$203K (Glassdoor est.) | Our mission is to help people everywhere find a job and company they love. We are disrupting an industry by changing how people search for jobs and how companies recruit top talent.
We are looking for a talented engineer to join our growing data engineering team. The ideal candidate has significant experience in leading a small group of engineers that build scalable data platforms that enable business intelligence, analytics, data science, and data products. You must have strong, hands-on technical expertise in a variety of technologies and the proven ability to fashion robust, scalable solutions. You should have a passion for continuous improvement quality.
We embrace a wide variety of technologies and work very closely with data scientists and business stakeholders to deliver end to end solutions. If you are interested in a fast paced environment, the latest technologies, and fun data problems come join us!
Responsibilities
Design and develop big data applications using a variety of different technologies.
Develop logical and physical data models for big data platforms.
Automate workflows using Apache Airflow.
Write data pipelines using Apache Hive, Apache Spark, Apache Kafka.
Create solutions on AWS using services such as Kinesis, Lambda, and API Gateway.
Provide ongoing maintenance and enhancements to existing systems, and participate in rotational on-call support.
Learn our business domain and technology infrastructure quickly and share your knowledge freely and proactively with others in the team.
Mentor junior engineers on the team
Lead daily standups and design reviews
Groom and prioritize backlog using JIRA
Act as the point of contact for your assigned business domain
Key Qualifications
7+ years of hands-on experience with developing data warehouse solutions and data products.
4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive, Spark, Airflow, Kafka, etc.
2-3 years of hands-on experience in modeling and designing schema for data lakes or for RDBMS platforms.
Experience managing a small team of engineers
Experience with programming languages: Python, Java, Scala, etc.
Experience with scripting languages: Perl, Shell, etc.
Practice working with, processing, and managing large data sets (multi TB/PB scale).
Exposure to test driven development and automated testing frameworks.
Background in Scrum/Agile development methodologies.
Capable of delivering on multiple competing priorities with little supervision.
Excellent verbal and written communication skills.
Bachelor's Degree in computer science or equivalent experience.
Nice To Have
Experience building machine learning pipelines or data products.
Familiarity with AWS or GCS technologies.
Be passionate about or have contributed to open sourced engineering projects in the past.
Why Glassdoor?
Work with purpose join us in creating transparency for job seekers everywhere
Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
100% company paid medical/dental/vision/life coverage, with 80% dependent coverage
Long Term Incentive Plan
401(k) Plan with a Company Match to prepare for your future
Conveniently located office in the heart of downtown San Francisco (Embarcadero)
No gender pay gap; we're committed to equal pay with our annual pay gap 'checkup'
Fully-stocked break rooms with complimentary food and drinks
Paid holidays and flexible paid time off
Your choice between Mac or PC
Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, age, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. | 4 | Glassdoor
4.0 | San Francisco, CA | Mill Valley, CA | 1001 to 5000 employees | 2,007 | Company - Private | Internet | Information Technology | Unknown / Non-Applicable | Indeed, LinkedIn | 0 | 0 | 121 | 203 | 162 | Glassdoor
| CA | 0 | 13 | 1 | 0 | 1 | 1 | 1 |
Product Engineer – Spatial Data Science and Statistical Analysis | $52K-$85K (Glassdoor est.) | Overview
Do you have a passion for finding underlying patterns and helping people make data-driven decisions? Do you want to join an awesome team that is building tools used everywhere from predictive policing to disease prevention? Become a key member of the statistical analysis development team and help us create the tools that enable organizations to make better decisions using Esri software. We’re looking for a passionate, experienced individual to help us improve and expand our capabilities in spatial statistics, machine learning, and spatial data science.
Responsibilities
Research cutting-edge methods and applications in the field of spatial and spatiotemporal statistics and spatial data science
Design, test, and document new analytical tools and the effective visualizations and outputs of those tools
Evangelize spatial data science through various venues such as user documentation, educational materials, conferences, workshops, and online content
Create and ship quality software by working effectively in an agile, highly interactive, and creative team environment
Requirements
Strong background in statistical theory and application
Experience in data mining, machine learning, time-series analysis, or similar analytical disciplines
2+ years of experience with R and Python (special consideration for experience with pandas, NumPy, and SciPy and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch)
Experience with distributed computing, including frameworks such as Spark
Excellent written and verbal communication skills
Master’s or Ph.D. in geography, statistics, econometrics, computer science or related field, depending on position level
Recommended Qualifications
Ability to communicate complex concepts effectively, making spatial data science accessible and even fun
Working experience in geostatistics, spatial statistics, or other statistical fields involving autocorrelated datasets
Passion for storytelling using data visualization
Familiarity with Esri GIS products
Knowledge of or experience developing models or scripts in ArcGIS
Questions about our interview process? We have answers.
The Company
Our passion for improving quality of life through geography is at the heart of everything we do. Esri’s geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Carefully managed growth and zero debt give Esri stability that is uncommon in today's volatile business world. Privately held, we offer exceptional benefits, competitive salaries, 401(k) and profit-sharing programs, opportunities for personal and professional growth, and much more.
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you need a reasonable accommodation for any part of the employment process, please email humanresources@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address. | 3.5 | Esri
3.5 | Redlands, CA | Redlands, CA | 1001 to 5000 employees | 1,969 | Company - Private | Computer Hardware & Software | Information Technology | $1 to $2 billion (USD) | Pitney Bowes | 0 | 0 | 52 | 85 | 68.5 | Esri
| CA | 1 | 51 | 1 | 0 | 1 | 0 | 1 |
Sr Software Engineer (Data Scientist) | $81K-$140K (Glassdoor est.) | Assurant Labs is looking for a thoughtful, adaptive individual with a growth mindset to join our growing team as a Data Scientist In this role, you will work closely with neural networks, computer vision, and machine learning for one of our small product teams in an agile environment. The team focuses on onboarding devices into an insurance program and fulfilling insurance related needs such as filing a claim and viewing policy information. Candidates must have strong communications skills, sound judgement, and the ability to be productive in a fast-paced, team-oriented environment. Responsibilities Enhance device diagnostics capabilities for Pocket Geek platform Develop and maintain a data-warehouse for Pocket Geek platform Building and refining models Create reports based on relational data Create and maintain ETL pipelines Provide insights for the business based on the Pocket Geek Mobile user analytics Requirements Experience with PyTorch or TensorFlow Experience with Jupyter Notebook and Pandas Experience with MySQL and relational database design Experience working with large data sets Analysis skills including math, statistics, and data visualization Ability to reason with and adapt to evolving development tasks and priorities Create and maintain rapport with team members Create and maintain professionalism with those inside and outside the office Hopes Willingness to participate in mentoring and skills transfer among team members A continuous learning mindset that keeps you current on development best practices and trends Excellent communication Desire for a deep technical understanding for the problems at hand Ability to balance trade-offs between speed and quality based on business priorities 86226 | 3.4 | Assurant
3.4 | Westlake, OH | New York, NY | 10000+ employees | 1,978 | Company - Public | Insurance Carriers | Insurance | $5 to $10 billion (USD) | Asurion, SquareTrade, National General Insurance | 0 | 0 | 81 | 140 | 110.5 | Assurant
| OH | 0 | 42 | 0 | 0 | 0 | 0 | 1 |
Sr. Data Engineer (ETL Developer) | $83K-$148K (Glassdoor est.) | Summary
FGL Holdings—the F&G family of insurance companies—is committed to helping Americans prepare for and live comfortably in their retirement. Through its subsidiaries, F&G is a leading provider of annuity and life insurance products. For nearly 60 years, we have offered annuity and life insurance products to those who are seeking safety, protection and income solutions to meet their needs.
At F&G, we believe our culture is what makes our company great. In 2019, we received a Top Workplace award, which we credit to our employees' shared cultural values: Collaborative, Authentic, Dynamic and Empowered. We believe that by embracing these values, we will continue to build and strengthen the company, while being a great place to work. We recruit talented and committed individuals to join our team, and we provide opportunities for personal and professional growth.
The Sr. Data Engineer will support the design, development, implementation and maintenance of complex, mission-critical Informatica, SQL-based systems supporting F&G‘s insurance operations. As a senior team member, the senior data engineer will assume lead roles in the design and development, oversee the work of all junior developers, and participate in the strategic planning around future development of the F&G data environment.
The Company has made a significant investment in information technology and relies heavily on data interfaces from multiple off-site source systems. Solid communication and problem-solving skills are required.
Organization
This position reports directly to the Director, Data Engineering& Administration and has significant interaction with members of the IT organization, Third Party Administrators, group managers, and departmental analysts throughout the organization. In addition, interaction with the PMO Project Managers for prioritization and reporting and Relationship Management with business will be critical and ongoing.
Duties and Responsibilities
Develop Informatica code to support existing and future EDS deployments
Performance tune existing and future Informatica code to ensure all SLAs are met
Develop and support team of on-shore and off-shore Informatica developers to deliver exceptional quality and meet all project deadlines
Perform relational database analysis, modeling, and design of complex systems
Create detailed technical design documents in accordance with business requirements
Develop complex programs/queries to support transactional processing and regulatory reporting utilizing SQL and Informatica
Develop and perform detailed unit, quality assurance and regression tests to validate the readiness of internal developed code for production
Create detailed deployment plans for use in the migration of code from staging to production environments and provide deployment guides to host provider for deployments
Work with Infrastructure and other IT teams to implement complete solution
Create clear and effective Status reports as required
Perform impact analysis for interface/system changes affecting the applications and data environment
Work closely with Data Management team members to translate business needs into technical solutions
Assist Data Management Manager in developing estimates for project and maintenance work
Monitor/ensure acceptable levels of system performance, integrity and security
Support standards for system architecture, code quality and collaborative team development
Attend routine departmental meetings to support communication around development best practices, participate in change control discussions, review code, and provide technical instruction to colleagues
Partner with external TPAs and consultants to collaborate on large scale development efforts and enforce F&G standards for integration and data exchange
Attend conferences, developer forums, and training opportunities to ensure current technology trends are understood and applied within the F&G environment
Experience and Education Requirements
Bachelor’s degree (preferred emphasis in computer science or MIS) or equivalent experiences
Senior to expert level design/development, debugging ability with Informatica Power Center (including version 10.1)
Senior to expert level ability to optimize Informatica and SQL jobs through performance tuning
Minimum 5 years of experience in supporting ETL, production data operations (File processing, data distribution etc.,) including debugging, addressing production issues and performing Root Cause Analysis
Expert level experience in designing and building large applications utilizing SQL Server
Experience in windows batch scripting, scheduling jobs using job scheduling tools, e.g., JAMS and Data Marts and other Data Warehousing practices
Thorough understanding of the software development life cycle and experience in working with geographically distributed teams (offshore, offsite etc.,)
Ability to use SQL development tools such as SQL Navigator and Toad as well as maintain code in source code control systems
Knowledge of proper database normalization, indexing, transaction protection and locking is essential
Preferred Skills
Preferred to have experience in supporting DTCC and data transfers from / to external organizations and internal systems using EFT (Electronic File Transfer)
Working knowledge of Informatica Data Quality, Business Glossary, Metadata Manager
Experience with database design/modeling tools such as Erwin
Skills and Abilities
Strong technical documentation ability
Familiar with SSIS, Python and other ETL frameworks preferred
Previous experience with Tableau, operational reporting is a plus
Must have a teamwork focused attitude and be skilled at building relationships within IT organizations and across business functions
Strong technical documentation skills
Life/Annuity insurance industry experience strongly preferred
Excellent oral and written communication skills
Knowledge of data integrity protocols and security requirements and techniques
Strong time management and organizational skills to enable productivity in a fast-paced, dynamic development environment
Strong verbal communication skills and a demonstrated ability to work effectively in team-based development projects
Physical Demands and Work Environment
Must be able to work in a fast-pace team environment and handle multiple projects and assignments under tight deadlines
Must demonstrate willingness to work flexible hours as needed to accommodate business needs and deliverables
Must be able to sit at a computer for extended periods of time
#LI-JS1
#INDHP | 3.7 | F&G
3.7 | Des Moines, IA | Des Moines, IA | 201 to 500 employees | -1 | Subsidiary or Business Segment | Insurance Carriers | Insurance | $100 to $500 million (USD) | -1 | 0 | 0 | 83 | 148 | 115.5 | F&G
| IA | 1 | -1 | 1 | 0 | 0 | 0 | 1 |
Associate Research Scientist I (Protein Expression and Production) | $59K-$116K (Glassdoor est.) | Position Description
The successful candidate will be highly proficient in recombinant protein expression and production by using various host cell systems (e.g. Mammalian, BEVS, and E coli). Responsible for the generation of milligram to sub-gram scale quantities of recombinant proteins to support small molecules high throughput screen.
Position Requirements
ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Conduct protein expression from various shake flask scales to scale up with bioreactor systems using Mammalian/E coli/BEVS cultures.
• Responsible for operating and maintenance of all fermentation as well as cell culture equipment. Stocking Protein Expression supplies and media.
• Experimentally determine methods for optimizing yield and other process parameters for protein expression.
• Perform protein pull-down using relevant protein/resin interaction and protein chemistry.
• Prepares and organizes data for presentation using analysis and visualization software; presents data and reports on project status at individual, group, and departmental research meetings under general supervision.
• Maintain familiarity with current scientific literature relevant to the research experiments or program
• Maintain laboratory notebook in a complete, consistent, and concise manner in accordance with company intellectual property policies and practices.
• Perform additional tasks or assist with special projects as assigned or needed.
• Adhere to good health and safety practices in compliance with applicable EH&S rules and participate in mandatory safety training programs.
SUPERVISORY RESPONSIBILITIES:
• None
EDUCATION/EXPERIENCE/SKILLS:
Education:
• Bachelor’s degree (B.A./B.S.) in related discipline and four to six years of relevant experience; or
• Master’s degree (M.A./M.S.) in related discipline and two to four years of relevant experience; or
• Equivalent combination of education and experience.
Experience:
• Extensive experience with cell cultures (HEK293 and E coli a must, insect cell desirable).
• Demonstrated expertise in the execution of protein expression at bench as well as scale-up production in WAVE Bioreactor.
• Expert level operator of WAVE Bioreactor system. Proficient at method development with Unicorn.
• Experience with recombinant protein purification (protein pulldown with appropriate protein/resin interaction and protein chemistry) is a plus.
• Experience in metabolite-detection assay as well as protein characterization (SDS-PAGE, and Western Blotting, etc.) is a desired.
• Proficiency with computer software including MS Word, MS PowerPoint, MS Excel is desired.
Knowledge/Skills/Abilities:
• Working knowledge of molecular and cellular biology techniques as applied to protein production.
• Ability to work independently while following protocols.
• Complete understanding and wide application of scientific principles, theories and concepts in field of specialty as well as general understanding and knowledge in other related disciplines
• Ability to read and interpret documents such as safety rules, operating and maintenance instructions, procedure manuals and scientific articles.
• Ability to write routine reports and correspondence.
• Strong communication skills including effective public speaking before groups and individuals from other departments. Ability to effectively capture data and results.
• Excellent work ethic, strong self-motivation, and ability to work effectively in a either a team environment or independently.
• Strong collaboration skills with other team members.
JOB COMPLEXITY:
• Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
• Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
• Uses professional concepts and company policies and procedures to solve a wide range of difficult problems in imaginative and practical ways.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. | 3 | Exelixis
3.0 | Alameda, CA | Alameda, CA | 501 to 1000 employees | 1,994 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | Genentech, Novartis, AstraZeneca | 0 | 0 | 59 | 116 | 87.5 | Exelixis
| CA | 1 | 26 | 0 | 0 | 0 | 0 | 1 |
Senior Data Scientist Artificial Intelligence | $60K-$101K (Glassdoor est.) | *Organization and Job ID**
Job ID: 310481
Directorate: National Security Directorate
Division: Computing and Analytics
Group: Data Sciences and Analytics
*Job Description**
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation!
Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and artificial intelligence research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to remote sensing, human language technologies, computer vision, image/video understanding and other related fields.
The data scientist in artificial intelligence should have the following attributes:
+ Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn)
+ Experience applying machine learning and artificial intelligence techniques to domain specific applications, such as natural language processing, remote-sensing and geo-spatial intelligence, social computing, time series prediction, computer vision, etc.
+ Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred)
+ This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.
*Minimum Qualifications**
+ Bachelors degree with 5 years of experience, Masters with 3 years of experience or PHD with 1-2 years of experience.
*Preferred Qualifications**
+ Active Federal Q Clearance and ability to maintain such clearance.
*Equal Employment Opportunity**
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
*_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**
*Other Information**
This position requires the ability to obtain and maintain a federal security clearance.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
_Directorate:_ _National Security_
_Job Category:_ _Computation and Information Sciences_
_Group:_ _Data Sciences & Analytics_
_Opening Date:_ _2020-02-11_
_Closing Date:_ _2020-05-01_ | 3.8 | PNNL
3.8 | Richland, WA | Richland, WA | 1001 to 5000 employees | 1,965 | Government | Energy | Oil, Gas, Energy & Utilities | $500 million to $1 billion (USD) | Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory | 0 | 0 | 60 | 101 | 80.5 | PNNL
| WA | 1 | 55 | 0 | 0 | 0 | 0 | 0 |
Analytics - Business Assurance Data Analyst | $31K-$55K (Glassdoor est.) | Analytics - Business Assurance Data Analyst (Cedar Rapids, IA)
Position Summary
GreatAmerica is a national commercial equipment finance company dedicated to helping manufacturers, vendors and dealers be more successful and keep their customers for a lifetime. While GreatAmerica has grown to more than 600 team members, our entrepreneurial spirit remains and endless opportunities lie ahead. We have experienced unparalleled year over year growth since our founding in 1992. GreatAmerica is structured in cross functional teams that allow individuals make informed decisions that benefit the company and our customers. There is no doubt in our minds we are building the greatest company of its kind, offering the finest products and services available anywhere. When you are part of the GreatAmerica team, you are part of the best. You are part of the future, part of an opportunity to grow professionally and to reach your potential while enjoying your work.
Position Summary
As a key member of Internal Audit, this role will explore innovative ways to leverage data as well as design and develop analytics/automation that will improve and optimize Internal Audit initiatives in helping to achieve the objectives of the annual audit plan. This role will also explore efficiencies in current activities by exploring automation, and influence the ways we think about data and use technology in the audit process. This position provides a unique opportunity to leverage data skills and advance one’s audit skills through exposure to the company’s many different functions.
Duties and Responsibilities
Identifying, designing and developing analytics protocols, standards and reporting to support Internal Audit activities.
Using technology tools to automate audit testing and develop techniques for continuous auditing and analyzing large volumes of data.
Planning, performing, drawing conclusions and reporting on internal audits as assigned in accordance with the annual audit plan.
Researching current internal audit and financial best practices/techniques with each engagement.
Following up on audit recommendations to ensure resolution.
Building/maintaining effective professional relationships within Internal Audit and Senior Leadership.
Assisting in preparation of quarterly reports to the Audit Committee and Senior Leadership.
Assisting external auditors with audits they have Internal Audit perform for their annual audit.
Attending training/webinars/seminars to obtain appropriate level of annual Continuing Professional Education hours, with learning to be applied in the workplace.
Providing input on department’s risk assessment and annual plan.
Taking on special projects or assignments as requested.
Position Qualifications
Competencies
For all GreatAmerica team members: Honesty/Integrity, Customer Oriented, Accountability, Tenacious, Communication Skills (Oral & Written), Adaptability
For this position: strong communication skills – both verbal and written, strong quantitative analytical and problem solving skills, detail-oriented, ability to see the big picture/think critically, and ability to get along well with others at all levels of the company/team player.
Education: Bachelor’s degree in a Business-related field (Accounting, Finance, Information Systems) or STEM field (Science, Technology, Engineering, Mathematics) is preferred.
Experience 2 - 3 years of relevant experience, advanced Excel, technical and/or data analytics knowledge a plus. Certification, or a desire to obtain certification preferred. Knowledge of the lease industry a plus.
Skills and Abilities
A mixture of multidisciplinary skills, ranging from data analytics, accounting, internal controls, auditing techniques and communication/presentation is preferred.
Advanced proficiency in Excel (Visual Basic and Pivot Tables), with general knowledge of Microsoft Suite preferred.
Data Visualization experience with tools such as Tableau is a plus.
Data Analytics / Business Intelligence experience is a plus.
Experience acquiring data via SQL routines is a plus.
Other Requirements
Good interpersonal and communication skills (both written & verbal), Ability and willingness to travel which is only occasional. Willing to work more than 40 hour weeks as the demands and the expectation of the department dictate | 4.6 | GreatAmerica Financial Services
4.6 | Cedar Rapids, IA | Cedar Rapids, IA | 501 to 1000 employees | 1,992 | Company - Private | Lending | Finance | $100 to $500 million (USD) | -1 | 0 | 0 | 31 | 55 | 43 | GreatAmerica Financial Services
| IA | 1 | 28 | 0 | 0 | 0 | 0 | 1 |
Associate Director/Director, Safety Scientist | $102K-$178K (Glassdoor est.) | Who are we?
Acceleron is a biopharmaceutical company dedicated to the discovery, development, and commercialization of therapeutics to treat serious and rare diseases. Acceleron’s leadership in the understanding of TGF-beta superfamily biology and protein engineering generates innovative compounds that engage the body's ability to regulate cellular growth and repair.
Acceleron focuses its research and development efforts in hematologic and pulmonary diseases. In hematology, Acceleron and its global collaboration partner, Bristol Myers Squibb, are co-promoting newly approved REBLOZYL® (luspatercept-aamt), the first and only approved erythroid maturation agent, in the United States and are developing luspatercept for the treatment of chronic anemia in myelodysplastic syndromes and myelofibrosis. Acceleron is also developing sotatercept for the treatment of pulmonary arterial hypertension, having recently reported positive topline results of the Phase 2 PULSAR trial and actively enrolling patients in the Phase 2 SPECTRA trial.
What’s in it for you?
The Safety Scientist is responsible for ensuring high quality safety surveillance activities including aggregate report production, safety management meeting coordination, signal detection and risk management activities for assigned products.
Reporting to the Medical Safety Director, she/he will collaborate with other members of pharmacovigilance team and cross-functionally including clinical, regulatory, contract research organizations (CROs), and drug development collaborators/partners to ensure that all safety surveillance and individual case safety reporting are performed on-time for assigned products in compliance with global regulations.
What will you be doing?
Responsible for the technical and scientific support for safety surveillance and signal detection activities for assigned products via existing signal detection methodology and tools.
Responsible for the development of periodic (e.g. PBRER, DSUR, PADER) and ad-hoc safety reports for assigned products for submission to regulatory agencies around the world.
Collaborates with the Safety Medical Director to ensure that all information is available to allow for informed medical review and benefit-risk assessment.
Responsible for the quality of the final document using the procedures in place
Contribute in the evaluation of safety and supporting documents and responses to regulatory authorities.
Contribute in the development of risk management plans.
Review safety data from various sources (e.g. pre-clinical, clinical trial data, post-marketing, literature) throughout the development process as well as post marketing for assigned products.
Represent pharmacovigilance on cross-functional product/project teams as required.
Collaborate with PV team members to ensure appropriate and timely communication/dissemination of safety information.
Represent pharmacovigilance for regulatory inspections and audits and contribute in developing corrective action plans when needed.
In collaboration with Safety Medical Director, plan and conduct Safety Management Team (SMT) meetings and track follow-up actions.
What are we looking for?
Life Science Degree or Healthcare Professional (PharmD, PhD, MS, BS, RN, or RPh).
Post-graduate trainings in epidemiology (e.g. MPH) is an added benefit but not an absolute requirement.
Five years previous experience working in a (global) pharmaceutical Pharmacovigilance Department and among them atleast 3 years in safety surveillance or safety risk management.
Experience in clinical development and post marketing safety surveillance and reporting to Regulatory Authorities worldwide.
Competence in conducting safety data reviews, preparation of aggregate reports, signal detection and risk management plans for investigational and/or post marketed products.
Experience with MedDRA and drug coding reviews.
Knowledge of domestic and international regulatory safety reporting requirements, including FDA/ICH guidance’s related to pharmacovigilance (e.g.E2B) and Good Clinical Practices, as well as working knowledge of Code of Federal Regulations regarding drug safety.
Ability to achieve compliant solutions to complex problems in which analysis of situations or data requires an in-depth, strategic evaluation of various factors
Must have excellent, concise writing skills, excellent communication and interpersonal skills, and experience in working in multidisciplinary teams
Demonstrated technical leadership and ability to influence across external functions and within internal team
How will you grow with us?
This opportunity will allow you to drive the Pharmacovigilance function at Acceleron while working with a growing team and collaborating with knowledgeable and passionate cross-functional team members. It is an exciting time to work at Acceleron, with our company growth and advancing drug pipeline. You will tackle exciting challenges in a fast-paced environment and play an important role to further develop our drug safety function. Grow in your career and join our team!
*In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification document form upon hire.
*Recruiters - please do not send unsolicited resumes to this posting.
FOR IMMEDIATE CONSIDERATION PLEASE SUBMIT YOUR RESUME TO:
www.acceleronpharma.com | 4.4 | Acceleron Pharma
4.4 | Cambridge, MA | Cambridge, MA | 201 to 500 employees | 2,003 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | -1 | 0 | 0 | 102 | 178 | 140 | Acceleron Pharma
| MA | 1 | 17 | 0 | 0 | 0 | 0 | 1 |
Director, Precision Medicine Clinical Biomarker Scientist | $136K-$208K (Glassdoor est.) | ROLE SUMMARY
The Precision Medicine Clinical Biomarker Scientist works collaboratively across research, technical, and clinical teams to define and operationalize early clinical biomarker strategies. A successful candidate can communicate and lead within a matrix organization, multitask/prioritize multiple projects, and leverage information from a variety of sources in order to deliver effective, fit for purpose biomarker strategies, quality data, and interpretation of biomarker results to drive program decisions.
ROLE RESPONSIBILITIES
Collaborates with research and clinical colleagues to develop and defend scientifically rigorous translational and exploratory biomarker strategies that assess proof of mechanism, establish early signs of efficacy, enable proof of concept studies, and generate an understanding of the variability in patient response
Assembles and leads collaborative biomarker sub-teams, made up of colleagues with relevant technical, research, or clinical expertise, to operationalize biomarker strategy
Ensures timely biomarker assay development, fit for purpose validation and resourcing
Contributes clinical protocol, lab manual, and informed consent language specific to biomarkers
Leverages external contract research organizations and vendors along with appropriate internal laboratories to execute biomarker analyses
Serves on clinical operations teams to endure compliance around clinical biospecimen management and vendor oversight
Ensures timely delivery of internally or externally generated biomarker data for analysis
Works with biomarker and clinical teams to interpret biomarker results in the context of the clinical study
Shares learnings with key stakeholders and the scientific community through presentations and peer-reviewed publications.
QUALIFICATIONS
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
PhD with minimum of 7-10 years of experience. Industry experience strongly preferred
Background in metabolic, cardiovascular, inflammatory, or rare genetic diseases preferred
Candidate should have advanced knowledge of the application of various biomarker technologies (eg. flow cytometry, ligand binding assays, mass spectrometry) as well as various high dimensional exploratory platforms (eg. transcriptomic, proteomic, metabolomics)
Experience in clinical drug development, clinical protocol design, clinical trial operations, clinical trial biospecimen logistics, analytical and clinical validation of biomarker assays, and/or vendor interactions preferred
Able to effectively lead matrix teams made up of research, technical, and clinical colleagues
Builds connections by developing positive, collaborative partnerships
Demonstrated ability to manage and contribute effectively to multiple projects at once
Highly effective verbal and written communication skills
#LI-PFE
Reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.
Medical | 4 | Pfizer
4.0 | Cambridge, MA | New York, NY | 10000+ employees | 1,849 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | -1 | 0 | 0 | 136 | 208 | 172 | Pfizer
| MA | 0 | 171 | 0 | 0 | 0 | 1 | 0 |
Senior Scientist, Cell Pharmacology/Assay Development | Employer Provided Salary:$110K-$130K | Senior Scientist, Cell Pharmacology/Assay Development
Location: Cambridge MA
Kronos Bio seeks a highly motivated Research Scientist/Senior Research Scientist to join its drug discovery team located in Cambridge, MA. As a member of an interdisciplinary team, this individual is expected to harness their substantial oncology background to help guide strategic scientific decisions and research program development. The applicant is expected to have a robust experimental skill-set, an eagerness for learning, and contribute to a strong culture of teamwork and collaboration in a fast-paced environment.
Essential Duties and Responsibilities:
Coordinate with R&D team members to lead key elements of discovery and preclinical development programs for novel cancer therapies.
Design, develop and execute in vitro assays required for the advancement of high priority projects, including cell model development and engineering, cell-based bioassays and in vitro pharmacologic characterization.
Experience with knockdown or over-expression techniques in in vitro models including CRISPR, shRNA, ASO or lentiviral overexpression to define gene expression programs.
Experience using laboratory automation and robotics is a plus.
Experience working closely with computational biologists and/or medicinal chemists is a plus.
Manage and direct external resources (CRO) and collaborators.
Present and discuss results with the Kronos Bio team and the external research community; work collaboratively with a team of talented scientists.
Demonstrated ability to thrive in a collaborative cross-functional team environment, self-motivated but team player.
Qualifications:
PhD or MS/BS in Biology with a minimum of 2 years (PhD) or 6 years (MS/BS) industry/biotech experience.
Ability to work independently and able to balance multiple tasks or projects.
Diligent with details and timely execution and delivery of high-quality results.
Strong background in basic research or translational research in oncology, including but not limited to high throughput screening, cell-based assays, molecular biology and protein chemistry.
Familiarity with analysis of genomic and gene expression data sets.
Experience working with CROs and/or compound management organizations preferred.
Highly analytical mind, attention to detail, organization skills, and rigorous experimental record keeping using an ELN system are critical.
Collaborative, proactive and optimistic personality.
Embodies Kronos values; exhibits high degree of integrity and professionalism when interacting with outside investigators and vendors.
Entrepreneurial and enjoys working in a fast-paced, creative and resourceful small company environment.
Interested candidates should forward a resume and cover letter to careers@kronosbio.com.
https://kronosbio.com/openpositions
Kronos Bio, Inc. is dedicated to the discovery and development of first-in-class therapies that modulate historically undruggable targets. We leverage deep capabilities in high-throughput small molecule microarrays, targeted protein degradation, and cancer biology in order to identify potent and selective compounds against transcription factors and other central drivers of oncogenic signaling. | -1 | Kronos Bio | Cambridge, MA | San Mateo, CA | Unknown | -1 | Company - Private | -1 | -1 | Unknown / Non-Applicable | -1 | 0 | 1 | 110 | 130 | 120 | Kronos Bio | MA | 0 | -1 | 0 | 0 | 0 | 0 | 0 |
Data Analyst Senior | $48K-$85K (Glassdoor est.) | Data Analyst Senior
Location
Philadelphia, PA
Telecommuter?
No
ID**
18676
Your career starts now. We’re looking for the next generation of health care leaders.
At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.
Headquartered in Philadelphia, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. Discover more about us at www.amerihealthcaritas.com.
AmeriHealth Caritas Services LLC, Philadelphia, PA, seeks a Data Analyst Sr.-IS to support business needs by collecting and analyzing data from multiple sources to improve data processing and data standardization for Medicaid/Medicare case management and coordination. Gather and analyze data using XML, Javascript, ETL frameworks, Toad, and Tableau to optimize data loads and data transformations. Report data using Business Objects in SQL databases. Use SQL and Oracle to query data and write reports. Develop application specific Logical and Physical data models along with their corresponding data definitions using Erwin Data Modeler. Develop, implement, and maintain databases using Oracle and SQL Server for the collection, tracking, and reporting of research data. Identify, analyze, and interpret trends or patterns in complex datasets using Excel, SPSS, and SAS statistical packages and provide ongoing reports. Document data using Visio and MS Project. Create SDLC documentation and utilize SDLC methodologies for all project deliverables. Develop data analysis and reporting capabilities to optimize statistical efficiency and quality. Create Entity-Relationship using Erwin Data Modeler in order to understand data flows. Monitor performance and quality control plans to identify data improvements. Filter data by reviewing reports and performance indicators to locate and correct code problems. Arrange anomalies of consumption, identify errors in data, and take measures to resolve them. Determine changes in physical databases by studying project requirements and identifying database characteristics. Maintain all data artifacts used across information platforms. Locate and define new process improvement and data standardization opportunities. Requirements: Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering (any), or closely related field and 5 years of experience in data analytics. Alternatively, employer will accept a Master’s degree (or foreign equivalent) in the same fields and 3 years of experience in data analytics. Experience must also include 3 years in the following: supporting clinical data processing for Medicaid/Medicare case management; analyzing data using XML, Javascript, ETL frameworks, and Tableau; reporting data using Business Objects in SQL databases; using SQL and Oracle to query data, write reports, and develop databases; developing data models using Erwin Data Modeler; analyzing datasets using Excel, SPSS, and SAS statistical packages; documenting data using Visio and MS Project; and creating SDLC documentation and utilizing SDLC methodologies for project deliverables | 3 | AmeriHealth Caritas
3.0 | Philadelphia, PA | Philadelphia, PA | 5001 to 10000 employees | 1,983 | Company - Private | Insurance Carriers | Insurance | $5 to $10 billion (USD) | UnitedHealth Group, Molina Healthcare, Centene | 0 | 0 | 48 | 85 | 66.5 | AmeriHealth Caritas
| PA | 1 | 37 | 0 | 0 | 0 | 0 | 1 |
Senior Formulations Scientist II | $71K-$129K (Glassdoor est.) | Position Description
This Senior Formulations Scientist II position will be responsible for early and late stage drug product development activities including formulation, process development, optimization, and scale-up of small molecule oral dosage form. This individual will also manage operational activities with the contract manufacturing organizations (CMOs), including technology transfer, formulation/process optimization, troubleshooting, scale-up, and process validation. This person should possess extensive knowledge and experience in technical assessment for selection and onboarding new CMOs. In addition, responsibilities include participating and collaborating with internal acnd external project teams, preparing and reviewing regulatory and Chemistry Manufacturing & Control (CMC) documents. This individual must have a “take charge” and “lead by example” attitude, a solid track record of dealing with external manufacturing, and deep underlying technical skills in small molecule products. This individual must also have excellent command skills, complex problem-solving abilities, outstanding communication skills, and the ability to apply creative solutions to solve complex issues.
Position Requirements
ESSENTIAL DUTIES AND RESPONSIBILITIES:
•Select vehicles, excipients and/or new technologies appropriate to prepare formulations of novel investigational small molecules for in vivo studies.
•As the formulation and manufacutring process Subject Matter Expert, provide on-site technical support as “person-in-plant” during critical formulation/process developmenet activities and manufacturing of clinical trial materials at CMOs as needed.
•Evaluate physico-chemical characteristics of small molecules such as pH, pKa, solubility, pH-solubility profile, particle size, solid and solution state stability studies, excipient compatibility, dissolution characteristics and polymorphism.
•Design and implement experimental protocols to select prototype formulations to support toxicokinetic and pharmacokinetic studies including stability data analysis.
•Design experimental studies to select formulation and process for Phase I First In Human Clinical trial including selection of protype formulation, stability, and manufacture of clinical trial material (CTM).
•Apply statistical design of experiments to optimize and scale-up formulations and manufacturing process.
•Manage technology transfers for scale-up, process validation, and clinical manufacture of Phase I, II and III supplies including troubleshooting issues with formulation and manufacturing processes..
•Assess technical capability of a potentially new CMOs to support early and late stage drug product development activities.
•Create criteria for the CMO selection process.
•Author and review IND quality eCTD modules for new molecule.
•Manage development timelines for multiple molecule projects.
SUPERVISORY RESPONSIBILITIES:
•None
EDUCATION/EXPERIENCE/SKILLS:
Education:
•MS/MA degree in bioengineering, biophysics, chemical engineering, pharmaceutics, or pharmaceutical sciences and five years of related experience; or,
•PhD in bioengineering, biophysics, chemical engineering, pharmaceutics, or pharmaceutical sciences and two years of related experience, or;
•Equivalent combination of education and experience.
•May require certification in assigned area.
Experience:
•Typically requires a minimum of ten years of related experience and/or combination of experience and education/training.
•Experience in Biotech/Pharmaceutical industry preferred.
•Demonstrated experience in successfully working with CMOs for current Good Manufacturing Practices (cGMP) clinical supplies manufacuring. Responsibilities include the preparation, review and approval of a broad spectrum of technical documents, including Manufacturing Batch Records (MBRs), specifications, protocols, reports, and etc.
•Must have proven skills in the areas of solid state characterization.
•Extensive experience in technical assessment and selection of CMOs for early and late stage drug product development.
•Experience in developing oral and hands on experience in particle sizing, fluid bed granulation, roller compaction, direct compression, aqueous and solvent-based coating is required.
•Previous participation in project teams and internal/external collaborations, and preparation and review of regulatory/CMC documents are also important aspects of this position.
•Must be able to provide thorough formulation analysis results in a timely manner.
•Experience with other dosage forms or advanced formulations (e.g., controlled release) is a plus.
•Strong experience with solid-state characterization and analytical instrumentation.
•Operation and maintenance of various scientific instrumentation such as, High Performance Liquid Chromotography (HPLC), Fournier Transfer Infrared Spectroscopy (FTIR), Thermogravirmetric Analysis (TGA), and Differential Scanning Calorimeter (DSC), etc. is a plus.
Knowledge/Skills/Abilities:
•Knowledge of formulation development and process optimization/scale up and validation of solid oral dosage forms.
•Strong knowledge of and experience of the various phases of drug development for oral dosage forms is required.
•Ability to manage multiple project assignments and function in a driven and fast moving team environment.
•Familiarity and working knowledge of current Good Manufacturing Practices (cGMP)/International Conference on Harmonization (ICH) regulations, with experience working in a GMP facility is required.
•Experience with statistical tools to design and evaluate experiments for formulation and process development. Proficient with use of statistical software such as JMP or Minitab.
•Leads the work of others by providing guidance to subordinates or teams based on organizational goals and company policy, with responsibility for results, costs, methods and staffing.
•Proficient with broad use of computer applications such as MS Office.
•Applies strong analytical and excellent verbal and written communication skills.
•Possesses extensive experience in relevant industry/profession and area of specialization.
•Utilizes professional concepts and company objectives to resolve complex issues in creative and effective ways.
•Identifies and implements methods and procedures to achieve results.
•Performs a variety of complicated tasks with a wide degree of creativity and latitude.
•Possesses complete understanding and wide application of technical principles, theories, concepts and technique and has a good general knowledge of other related disciplines.
•Applies strong analytical and business communication skills.
JOB COMPLEXITY:
•Works on complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
•Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation of criteria for obtaining results.
•Uses professional concepts and company’s policies and procedures to solve a wide range of difficult problems in imaginative and practical ways.
•Networks with key contacts outside own area of expertise.
DISCLAIMER
The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. | 3 | Exelixis
3.0 | Alameda, CA | Alameda, CA | 501 to 1000 employees | 1,994 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | Genentech, Novartis, AstraZeneca | 0 | 0 | 71 | 129 | 100 | Exelixis
| CA | 1 | 26 | 0 | 0 | 0 | 0 | 1 |
Lead Data Engineer (Python) | $66K-$123K (Glassdoor est.) | Lead Data Engineer (Python)
Strategic Employment
San Francisco, CA
Are you interested in using your Python and Microservices experience to bring financial trust back to the marketplace? My client is looking for a Senior Software Engineer to help build out their next-generation data pipeline. They were voted one of the best financial solutions for consumers last year, and they are looking to expand their outreach and grow even more.
Daily responsibilities will include:
Backend Pipeline development in a fast-paced, exciting cloud environment
Collaborate with product, design, and engineering teams
Analyze and optimize current applications towards a microservices architecture
Requirements
Previous experience and interest in Python development (other languages will be considered)
Experience taking ownership of new products and features from idea to implementation
Exposure or interest in taking monolithic applications towards Microservices architecture
Desired Skills
Experience or interest in cloud development (AWS, GCP, etc)
Experience or interest in airflow
Previous experience developing high performing secure systems to meet compliance standards
Company Information/Benefits/Perks:
Awesome medical family coverage and 401k match
Competitive bonus program (up to 40k) plus Long-Term Cash Incentive Program (30k every 3 years)
Competitive and progressive vacation policy
Competitive Stock options
#gdsepsf
#zrsep
Posted On: Friday, March 13, 2020
Compensation: 165,000-185,000
Apply now | 4.7 | Strategic Employment Partners
4.7 | San Francisco, CA | Los Angeles, CA | 51 to 200 employees | 2,006 | Company - Private | Staffing & Outsourcing | Business Services | $1 to $5 million (USD) | -1 | 0 | 0 | 66 | 123 | 94.5 | Strategic Employment Partners
| CA | 0 | 14 | 1 | 0 | 0 | 1 | 0 |
Data Science Manager | $171K-$272K (Glassdoor est.) | About us:
Grand Rounds is a new kind of healthcare company. Founded in 2011, the company is on a mission to raise the standard of healthcare for everyone, everywhere. The Grand Rounds team goes above and beyond to connect and guide people to the highest quality healthcare available for themselves and their loved ones. Grand Rounds creates products and services that give people the best possible healthcare experience. Named a 2019 Best Place to Work by Glassdoor and Rock Health’s 2018 Fastest Growing Company, Grand Rounds works with inspiring employers and doctors to empower them to be the change agents we need to make our shared vision a reality.
The Role:
Data Scientists at Grand Rounds work on problems that are core to the company’s mission. Major challenges include developing systems and models to best match the Grand Rounds members to the highest quality clinical care for their individual needs. This requires patient-level modeling to understand the specific healthcare needs of every person as well as an in-depth understanding of physician clinical expertise and skill. With a high fidelity understanding of both patients and clinicians we are able to route patients to both appropriate and high quality care. In addition to developing the company’s core technologies, the Data Science team provides decision support analysis for many teams across the organization including product development, sales, marketing, and strategy. Data scale ranges from small data sets to large multi-terabyte clinical information in distributed database systems.
We’re looking for an experienced Data Scientist with a strong technical background, leadership instincts, and managerial skills. You would be growing and leading a talented team of Data Scientists. This would entail helping to develop quarterly roadmaps, managing a number of simultaneous projects, mentoring and fostering individual career development, and coordinating closely with other stakeholders across the company.
This position requires excellent communication skills, business instincts, and a “get-it-done” mentality to ensure that results are delivered while also encouraging creativity and innovation.
Example Projects:
Predict the specialty and subspecialty of providers
Predict the clinical expertise of providers
Predict whether a PCP is likely to prescribe harmful opioid doses
Predict if a member is likely to require a second opinion
Optimize between various provider and member dimensions for the best clinical match for a member
Responsibilities:
Mentor Data Scientists and provide technical direction
Work with Data Science and Product leadership to devise product and technical roadmaps
Manage scope and pace of execution across multiple projects for high quality and on time delivery
Remove obstacles and enable teams to work productively in a constructive environment
Develop creative solutions to diverse problems including engineering challenges, unstructured data messes, ontology development, and machine learning applications
Lead and develop major projects from end-to-end encompassing planning, design, technical implementation, debugging, roll-out to Product & Engineering, testing, and iteration
Operate at level of sophistication in statistics, machine learning, or computer science that is publication-worthy
Regularly monitor pull requests, perform code reviews, and produce excellent peer reviews on projects prior to shipping to Product & Engineering
Evaluate and experiment with new technologies and tools prior to wider adoption by the team
Work closely with Analysts, Data Scientists, Product Managers, and Engineers
Qualifications:
5+ years of industry experience in data science or similarly quantitative roles
2+ years of prior management experience
Strong project management skills
Strong business and product instincts
Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
Experience effectively turning research results into applications and features that drive business impact
Passion for teaching and mentoring
Proficient with relational databases (e.g. SQL), Python, R, Linux Shell scripting
Experience with machine learning and computational statistics packages
Experience with visualization tools
Frequent user of cloud computing platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
Bonus Points: previous work on medical applications and/or with claims data
This is a full time position located in San Francisco, CA.
-----
Grand Rounds is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Grand Rounds considers all qualified applicants in accordance with the San Francisco Fair Chance Ordinance.
Apply Now | 4.2 | Grand Rounds
4.2 | San Francisco, CA | San Francisco, CA | 501 to 1000 employees | 2,011 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | -1 | 0 | 0 | 171 | 272 | 221.5 | Grand Rounds
| CA | 1 | 9 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist 4 Artificial Intelligence | $92K-$146K (Glassdoor est.) | *Organization and Job ID**
Job ID: 310468
Directorate: National Security Directorate
Division: Computing and Analytics
Group: Data Sciences and Analytics
*Job Description**
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation!
Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and artificial intelligence research. Research of interest includes the development, implementation, and resulting analyses of national security capabilities related to remote sensing, human language technologies, computer vision, image/video understanding and other related fields.
The data scientist in artificial intelligence should have the following attributes:
+ Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn)
+ Experience applying machine learning and artificial intelligence techniques to domain specific applications, such as natural language processing, remote-sensing and geo-spatial intelligence, social computing, time series prediction, computer vision, etc.
+ Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred)
+ This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.
*Minimum Qualifications**
+ Bachelors degree with 7 years of experience, Masters with 5 years of experience or PHD with 3 years of experience.
*Preferred Qualifications**
+ Active Federal Q Clearance and ability to maintain such clearance.
*Equal Employment Opportunity**
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
*_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**
*Other Information**
This position requires the ability to obtain and maintain a federal security clearance.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
_Directorate:_ _National Security_
_Job Category:_ _Computation and Information Sciences_
_Group:_ _Data Sciences & Analytics_
_Opening Date:_ _2020-02-11_
_Closing Date:_ _2020-05-01_ | 3.8 | PNNL
3.8 | Seattle, WA | Richland, WA | 1001 to 5000 employees | 1,965 | Government | Energy | Oil, Gas, Energy & Utilities | $500 million to $1 billion (USD) | Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory | 0 | 0 | 92 | 146 | 119 | PNNL
| WA | 0 | 55 | 0 | 0 | 0 | 0 | 0 |
Data Engineer | $65K-$126K (Glassdoor est.) | Who we are.
For 20 years, our mission has been to increase the presence and accessibility of natural and organic products to encourage healthier and more vibrant living. By leveraging SPINS' industry-leading proprietary data and analytics, our technology enables deeper, more engaged relationships between Retailers, Brands and Consumers through our platform, web, and mobile products. At the core of our work lies a passion to create a culture of sustainable health & wellness.
The SPINS Product and Technology teams include product development for internal and client-facing applications, data operations, data sourcing, master data, data science, custom reporting, design, engineering, data content quality and compliance. This position reports to the Manager of Data and Software Quality and will work on projects specific to Quality Assurance but may cross multiple teams within the SPINS Product and Technology division.
Key Responsibilities:
Develop and deploy applications for internal use, primarily within quality and operations teams.
Strong emphasis on data pipeline automation for continuous data quality audits and alerts
Pair with (XP) and share best practices with engineering and quality teams.
Add to our collection of Jupyter notebooks to use for data quality testing.
Improve our current quality processes by finding new ways to automate manual tasks.
What You Bring
Demonstrate competence with large structured data sets, both relational and JSON
High degree of proficiency with SQL including databases & cloud data stores
Experience with cloud-hosted data stores, databases, and other data serving layers
Ability to work with fast-moving Agile or XP software development teams
Willing to learn and to use a variety of tools and languages to get the job done
Python required; unix is a given; other tools we use are Jupyter, node.js & GraphQL
We're even more impressed if you bring along your:
Ability to work effectively without constant supervision and as a team player
Ability to define problems, collect data, establish facts and draw valid conclusions quickly
The SPINS Way
Direct– We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback.
Determined– We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action.
Passionate– We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths.
Collaborative– We leave our egos at the door, believing that working together we will produce an outcome that's greater than each individual contribution.
Why SPINS?
If we haven't convinced you to join us yet, this just might! Sure, we have a great benefit program but SPINS also offers its team members:
Company subsidized commuter transit program
Gym, bike storage and showers onsite
Fresh and healthy snacks daily
Vibrancy 360 Wellness Program: Free yoga and fitness classes, onsite massage, volunteer opportunities, client product demos, outings, and more. | 3.5 | SPINS, LLC
3.5 | Chicago, IL | Chicago, IL | 201 to 500 employees | 1,995 | Company - Private | Consulting | Business Services | $50 to $100 million (USD) | -1 | 0 | 0 | 65 | 126 | 95.5 | SPINS, LLC
| IL | 1 | 25 | 1 | 0 | 0 | 0 | 0 |
Director II, Data Science - GRS Predictive Analytics | $150K-$239K (Glassdoor est.) | Advance your career at Liberty Mutual Insurance - A Fortune 100 Company!
Job Summary:
The GRS Predictive Analytics Team (supporting claims) is looking for a highly motivated Data Scientist to join us at an exciting time as we embark on developing on several new next gen predictive models for all GRS LOBs. This person will collaborate closely with LOB Operations and Product teams, other Data Scientists, Actuaries and IT teams. They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making. This role requires expertise in a broad range of predictive analytics techniques, and their application to business opportunities. A successful candidate will be organized, creative, and interested in solving business problems using data and analytics. They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment.
Responsibilities:
Collaborate with GRS Claims Strategy, Product Teams and Field Operations to develop business cases and specifications for predictive modeling products
Responsible for building next gen predictive models using cutting edge techniques, monitor model performance, and identify continuous improvement opportunities
Understand the competitive marketplace, IT environment, claims operations, and data challenges to deliver actionable insights, recommendations and business processes.
Liaison with IT to develop innovative ways to deploy new predictive models in production
Become an expert in the GRS Claims data environment and help define the long-term data strategy required for predictive analytics team
Present findings, share insights, and make recommendations that impact claims operations
Effectively communicate results in written, oral and presentation formats.
Regularly engage with the data science and actuarial communities and lead cross-functional working groups, such as on improving the Data Science summer internship program
Mentor junior Data Scientists on the team
Qualifications:
Strong understanding of various analytical, problem solving and modeling techniques.
Extensive experience building predictive models using techniques such as GLMs, GBMs, SVMs, Neural Network, etc.
Extensive experience with building models using unstructured data such free text, images, voice data etc.
Expertise in one more programming language such as, Python, R or SAS Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Ability to establish and build relationships within and outside the organization.
Ability to give communicate effectively to management and other groups.
Ability to train and mentor team (with junior analysts)
Has a value-driven perspective about understanding of work context and impact.
Knowledge of claims processes preferred.
MS, PhD in statistics, computer science, engineering or related fields
Benefits:
We value your hard work, integrity and commitment to positive change. In return for your service, it's our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Overview:
At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed.
We're dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual. | 3.3 | Liberty Mutual Insurance
3.3 | Chicago, IL | Boston, MA | 10000+ employees | 1,912 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | Travelers, Allstate, State Farm | 0 | 0 | 150 | 239 | 194.5 | Liberty Mutual Insurance
| IL | 0 | 108 | 1 | 0 | 0 | 0 | 0 |
Medical Lab Scientist - MLT | $21-$29 Per Hour(Glassdoor est.) | Position Type: Regular
Scheduled Hours per 2 week Pay Period: 80
Primary Location: NE > OMAHA > IMMANUEL
Hours: 5:00am-1:30pm, with rotating holidays & weekends
** $10,000 sign on bonus & $10,000 student loan forgiveness**
Analyzing lab testing is pretty complex. We depend on the knowledge and skills of our MTs when it comes to evaluating medical lab tests to determine whats happening with our patients. They are vital to the diagnosis, treatment, and prevention of diseases. Love working in lab and analyzing results? Connect with CHI today!
What youll do:
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Conduct chemical analysis of body fluids, including blood, urine, or spinal, to determine presence of normal or abnormal components
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Collect biological specimens from patients
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Operate, calibrate, and maintain equipment used in quantitative or qualitative analysis
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Enter data from analysis of medical tests or clinical results into computer for storage
Why you should choose us:
What sets us apart from other healthcare organizations? How much time do you have? In short, it all starts with our current employees. They believe in living our mission to provide compassion to everyone. We, in turn, believe that growing and supporting our people allows us to deliver a higher degree of quality care to our patients. CHI advocates for all who live in the communities we serve, especially the most vulnerable. Choose an organization who will champion your talents and nurture your career. Choose CHI!
Requirements:
Associates or Bachelor's degree in Medical Lab Technology or Medical Technology or related field
Certified eligible or certified as a Medical Laboratory Scientist or Medical Technologist by ASCP, AMT, NCA or HEW or specialty board by ASCP for area employed
Additional Information
Requisition ID: 2020-R0281615
Schedule: Full-time
Market: CHI Health | 3.2 | Catholic Health Initiatives
3.2 | Omaha, NE | Englewood, CO | 10000+ employees | 1,996 | Nonprofit Organization | Health Care Services & Hospitals | Health Care | $10+ billion (USD) | Dignity Health, Trinity Health | 1 | 0 | 21 | 29 | 25 | Catholic Health Initiatives
| NE | 0 | 24 | 0 | 0 | 0 | 0 | 0 |
Senior Operations Data Analyst, Call Center Operations | $10-$17 Per Hour(Glassdoor est.) | Summary
Independent contributor role that uses expert skills in process, strategy, data mining concepts, analytics and technology to analyze data and make recommendations to drive improvements to operational and retention metrics, reporting, strategy and customer experience.
Package
If you are looking for an EXCITING place to work with a GROWTH-ORIENTED company, then Comdata is for you!
Competitive compensation
Development and internal growth opportunities in Nashville, Brentwood, as well as globally
Benefits on the first of the month following your hire date
Automatic enrollment into the 401k plan within your first thirty (30) days with Company match
Fun work environment with team building events, contests with awards and prizes
Company picnics, lunches and holiday celebrations throughout the year
Daily on site lunch option with various restaurants
On-site breakroom and lunch area with a marketplace to purchase snacks, drinks, and meals
Community support with both local and national organizations
Health programs such as Weight Watchers and Gym memberships paid for by the company
Cellular, rental car, banking, and Regal movie theatre discounts
Robust PTO policy including: major holidays, vacation, sick days, and personal days
Philanthropic support with both local and national organizations
Main Responsibilities
Maximizing use of current tools, reports and programs as well as using technological creativity and know-how to automate manual reporting/tools and development and creation of new reporting/tools.
Initiate and/or manage call center data process improvements.
Create new reports or manage existing reports on Salesforce and Tableau.
Manage cross functional activities related to large-scale call center analytic projects to deliver on schedule with superior quality.
Work with Senior Leadership and Business Partners (when applicable) to provide data, insights and recommendations to build strategy around driving use of technology and tools by call center leadership.
Collaborate with Senior Leadership to understand their data analysis needs, explain trends in data and actively drive further research and/or operational changes within in the call center to meet service goals, meet cost goals and provide our customers an excellent customer experience.
Manage and Administer Verint Scorecards and Reporting.
Manage and Administer Call Center Incentive Program.
Manage other systemns/tool implementation as needed.
Work with front line Call Center Management to develop them into expert users of call center technology and self- serve tools.
Regularly assess/analyze call center service goal performance relative to how agents are grouped to take inbound calls and make recommendations for change based on business need, new products, changes to how to currently do business to drive more efficient call processing and better customer experience.
Provide tutorship or act as mentor to junior analysts.
Ideal Candidate
Bachelor's Degree in Mathematics, Finance, Business, Computer Science, Statistics
Call center experience and ability to demonstrate understanding of call center KPI metrics
Familiarity with the Verint Workforce Management or similar workforce management applications a plus
Familiarity with Salesforce and Business Intelligence tools like Tableau
Expert computer skills, including advanced knowledge of Word, Excel and Access
Excellent and demonstrable knowledge of various statistical analysis methods
Excellent and demonstrable customer service skills that build high levels of customer satisfaction
Excellent and demonstrable verbal and written communication skills
Effective and demonstrable people skills and sensitivities when dealing with others
Ability to work effectively in both an independent and a team environment and demonstrates flexibility in approach to work, people, processes
Able to direct the definition, implementation and integration of statistical and data analysis principles
Able to extract data from large scale databases or applications to create custom datasets, models or reports
Project management experience for this type of work a plus, but not required
Relies on extensive experience and judgment to plan and execute goals, needs little direct supervision
A wide degree of creativity and latitude is expected | 2.7 | FLEETCOR
2.7 | Nashville, TN | Peachtree Corners, GA | 5001 to 10000 employees | 2,000 | Company - Public | Financial Transaction Processing | Finance | $2 to $5 billion (USD) | -1 | 1 | 0 | 10 | 17 | 13.5 | FLEETCOR
| TN | 0 | 20 | 0 | 0 | 0 | 0 | 1 |
Senior Quantitative Analyst | $118K-$228K (Glassdoor est.) | Are you ready to explore a world of possibilities?
Join our DTCC family, and you’ll grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life.
About this Opportunity
We are looking for a senior quantitative analyst to join the Model Validation & Control group ("MVC"), which is responsible for all aspects of Model Risk Management ("MRM") at DTCC from model governance & control, independent model validation to model performance monitoring ("MPM") and back testing ("BT").
The senior quantitative analyst will support the Director of MPM Review and Non-Models Control and work closely with model owners and the validation team within MVC group to perform reviews of MPM metric, plans, backtesting methodologies, low-tier models and non-models to ensure they comply with the standards as defined by DTCC Model Risk Management policy, Model Validation Procedures and regulatory requirements
Your Responsibilities:
Review MPM metrics and MPM plans according to firmwide MPM standards and opine on the appropriateness of the metrics and plans
Review backtesting methodologies and write review report
Present MPM review and oversight results and finding resolutions to the Model Risk Governance Council (MRGC)
Challenge MPM reports at monthly MRGC review meeting
Review low-tier models
Review non-models and enforce control
Perform ad hoc analysis to identify model limitations and performance issues and recommend remediations
Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.
Additional Qualifications:
Broad expertise in quantitative finance on valuation models (curve building methodologies, term structure models, option models, credit models), and risk management models and methodologies (greeks, VaR, back testing, stress testing).
Knowledge of prepayment modeling, MBS pricing and risks is a plus.
Econometric modeling and applied statistics skills (i.e. estimation, time series modeling, Monte Carlo simulation techniques, etc.)
High level of computer literacy, ability to work effectively with Matlab, Excel(VBA), SQL, R, Python or C++.
Ability to work independently and under pressure
Ideally the incumbent should be familiar with the regulatory requirements in terms of model risk management (SR11-7) and SEC Covered Clearing Agency Standards
Talents Needed for Success:
Experience and expert knowledge on VaR modeling and VaR model back testing methodologies
Strong mathematical background, especially in probability theory, stochastic processes, and PDE’s.
Excellent written and oral communication and presentation skills, ability to communicate quantitative concepts to financial professionals
Must have excellent interpersonal skills and can work in an efficient and organized way.
Who We Are:
With over 45 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From operating facilities, data centers and offices in 16 countries, DTCC, through its subsidiaries, automates, centralizes and standardizes the processing of financial transactions, mitigating risk, increasing transparency and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm simplifies the complexities of clearing, settlement, asset servicing, data management, data reporting and information services across asset classes, bringing increased security and soundness to financial markets. In 2018, DTCC’s subsidiaries processed securities transactions valued at more than U.S. $1.85 quadrillion. Its depository provides custody and asset servicing for securities issues from 170 countries and territories valued at U.S. $52.2 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes over 14 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, Twitter, YouTube and Facebook. | 3.3 | DTCC
3.3 | Jersey City, NJ | New York, NY | 1001 to 5000 employees | 1,973 | Company - Private | Brokerage Services | Finance | $1 to $2 billion (USD) | -1 | 0 | 0 | 118 | 228 | 173 | DTCC
| NJ | 0 | 47 | 1 | 0 | 0 | 0 | 1 |
Geospatial Software Developer and Data Scientist | $82K-$129K(Employer est.) | Job Posting Title:
Geospatial Software Developer and Data Scientist
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Hiring Department:
Applied Research Laboratories
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue
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Location:
PICKLE RESEARCH CAMPUS
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Job Description:
Development and implementation of geospatial algorithms for a variety of remote sensing technologies and applications (airborne and space-based). Innovate machine learning and deep learning techniques for exciting programs for diverse sponsor needs. Enhance and improve existing machine learning algorithms using modern machine learning methods. Innovate solutions to accommodate clustering and cloud based capabilities. Contribute to the Geospatial Laser Applications and Measurements group research tasks and objectives.
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Job Details:
Responsibilities
Develop new software and algorithms for remote sensing data production, evaluation and applications.
Collaborate with sponsor technical team and manage project progress.
Other related functions as assigned.
Required Qualifications
Bachelor's degree in engineering or computer science and three years of related experience. Applicant must have expertise in Python and Unix shell scripting. Proficient with algorithm design and development. Applicant must be comfortable using a Linux command line interface and have practical experience using Git/Gitlab/Github or other modern software version control system. Experience with one or more machine learning toolkits, like ScikitLearn, Keras, PyTorch, or Tensorflow. Experience with common machine learning algorithms and supervised training methods, like dimensionality reduction, clustering, ensemble learning, decision trees, SVMs, and CNNs. Ability to work with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with diverse groups of clients.
US Citizen: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.
Preferred Qualifications
Hands-on experience with state-of-the-art machine learning techniques using U-Nets, GANs, Autoencoders, or Reinforcement Learning. Demonstrated experience with end-to-end machine learning pipelines with real-world data-sets, including data cleaning, feature engineering, cross-validation, three-sets, and hyper-parameter tuning. Experience with R or MATLAB. Demonstrated experience with algorithm development for remote sensing data product processing, analysis and applications. Understanding of best practices of software development such as code reviews, test-driven development, and continuous integration/continuous deployment. Cumulative GPA of 3.0.
General Notes
An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.
Salary Range
$82,000-$129,000+/negotiable depending on qualifications
Working Conditions
Standard office conditions
Use of manual dexterity
Repetitive use of keyboard at a workstation
Some weekend, evening, or holiday work
Possible interstate/intrastate travel
Required Materials
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
Unofficial college transcripts
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
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Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
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Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.
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Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
E-Verify Poster (English) [PDF]
E-Verify Poster (Spanish) [PDF]
Right To Work Poster (English) [PDF]
Right To Work Poster (Spanish) [PDF]
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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the 2019 report here or obtain a copy at University Compliance Services, 1616 Guadalupe, Suite UTA 2.206, Austin, TX 78701. | 3.7 | Applied Research Laboratories
3.7 | Austin, TX | Austin, TX | 501 to 1000 employees | -1 | College / University | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 82 | 129 | 105.5 | Applied Research Laboratories
| TX | 1 | -1 | 1 | 0 | 0 | 1 | 0 |
RESEARCH COMPUTER SCIENTIST - RESEARCH ENGINEER - SR. COMPUTER SCIENTIST - SOFTWARE DEVELOPMENT | $52K-$91K (Glassdoor est.) | Serve as a software developer and researcher on a team developing software solutions for programs making a positive impact on society in Intelligent Transportation Systems (ITS) technology areas such as Integrated Corridor Management Systems (ICMS), Decision Support Systems (DSS), Advanced Traffic Management Systems (ATMS), Smart Cities, and Data Analytics Platforms; utilize advanced data science skills and techniques in state-of-the-art software development environments. Perform in all phases of the development lifecycle, including requirements definition, software/systems design, implementation, testing, and integration. Initiate advanced research and development programs; interact with clients and make technical presentations. Assist with project management and team leadership, developing system architectures, configuration management, and development/system engineering for client/server software, cloud-hosted systems, user interfaces, hardware and device management of IoT systems, etc.s
Education/Experience:
Requires a BS degree in Computer Science or Computer Engineering with at least 3 years of in software development experience. Must have at least a 3.0 GPA. Must have experience in systems engineering and exposure to object-oriented programming (programming languages such as, but not limited to, C++, C#, Java). Education and/or experience involving .NET, C#, Java, JavaScript, C++, Python, WPF, Git, Microsoft SQL Server, Windows, Linux, Docker, Kubernetes, Redis, Elastic Stack, TypeScript, HTML, CSS, Angular, Kafka, AWS, Azure, GCP is preferred. Excellent interpersonal skills and the ability to work well individually and as a member of a project team are required. Excellent written and verbal communication skills required. A valid/clear driver's license is required.
Special Considerations:
Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen.
Job Locations: San Antonio, Texas
For more information about this division, visit the Intelligent Systems home page.
An Equal Employment Opportunity/Affirmative Action Employer
Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Disabled/Veteran
Committed to Diversity in the Workplace | 3.9 | Southwest Research Institute
3.9 | San Antonio, TX | San Antonio, TX | 1001 to 5000 employees | 1,947 | Nonprofit Organization | Research & Development | Business Services | $500 million to $1 billion (USD) | Los Alamos National Laboratory, Battelle, SRI International | 0 | 0 | 52 | 91 | 71.5 | Southwest Research Institute
| TX | 1 | 73 | 1 | 0 | 0 | 1 | 1 |
Senior Scientist - Toxicologist - Product Integrity (Stewardship) | $47K-$101K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with RAI Services Company (2200).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
Position Description:
RAI Services Company (RAIS) is seeking a toxicologist to support the development of new products consistent with RAIS' Growth, Innovation and Harm Reduction Platforms, and provide support for efforts such as regulatory submissions. The incumbent will be required to provide stewardship and regulatory support for consumer products, critically assess a broad range of toxicological information, evaluate chemical and toxicological data, develop technical documents on a variety of scientific and risk assessment topics, and assist with the preparation and/or review of information supporting regulatory submissions. The individual will be required to interact cross-functionally, across the enterprise, and globally, as well as manage multiple projects to ensure project timelines are met.
Key responsibilities will include:
Provide stewardship support across products, materials, ingredients, technologies, manufacturing processes, etc., for RAI Operating Companies
Develop technical documents on various scientific, risk assessment, and regulatory topics, including toxicological data summaries.
Assist with the design, management, and interpretation of chemical and toxicological studies at contract research organizations to support product development and regulatory submissions.
Lead and/or assist with the preparation of documents in support of regulatory submissions.
Position Qualifications:
Educational Requirements
PhD in Toxicology, Pharmacology or related discipline.
MS in Toxicology, Pharmacology or related discipline with minimum 2 years of industry experience conducting human safety assessments of consumer products (e.g., cosmetics, household products), medical devices, pharmaceuticals, or chemicals.
Required Skills
Mastery of literary & laboratory research skills to use web search and scientific databases for bibliographic research and scientific monitoring.
Strong scientific and technical writing skills.
Proficiency in Microsoft Office software; strong computer experience is essential.
Excellent project management and teamwork skills.
Excellent interpersonal, written/oral communication skills.
Preferred Skills
Experience applying quantitative risk assessment (QRA) approaches and the preparation of human health risk assessments.
Experience with the preparation of documents in support of regulatory submissions.
Experience with critical evaluation of in vivo and in vitro toxicological studies.
Experience organizing and working with large datasets of information.
Proficiency with EndNote or equivalent.
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
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Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
California Privacy Notice
Nearest Major Market: Salem
Nearest Secondary Market: Winston
Job Segment:
Chemistry, Scientific, Toxicology, Law, Scientist, Science, Engineering, Legal | 3.1 | Reynolds American
3.1 | Winston-Salem, NC | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 47 | 101 | 74 | Reynolds American
| NC | 1 | 145 | 0 | 0 | 0 | 0 | 1 |
Systems Engineer II - Data Analyst | $49K-$76K (Glassdoor est.) | Missile Systems provides many different high-technology weapon systems solutions to our defense customers. The Systems Test Directorate at MS is seeking candidates for the Integration & Verification Center.
Position Summary:
The Integration & Verification (I&V) Center within the Systems Test Directorate is seeking candidates to perform the role of Systems / Integration & Verification Engineer on various programs with opportunities across multiple product lines; candidate will also provide support during lab/field/flight integration activities. Off-site integration testing covers a wide array of testing to include but no limited to: Design Verification Testing (DVT), Integrated Operational Missile (IOM) integration and testing, Flight Test Round (FTR) assembly and test, Qualification Testing, Functional Testing, Missile System Testing, Platform Integration Testing, Range Integration Testing, etc. A working knowledge of test equipment (data acquisition systems, meters, scopes, etc.), hardware integration (from board/section to full up round), testing, systems engineering, telemetry data processing/recording equipment, and data analysis is required. Tasking will consist of troubleshooting integration issues and providing failure identification, characterization and resolution. The candidate will adhere to the FRACAS process, use/troubleshoot telemetry acquisition systems, interpret test requirements, develop analysis-based tools/scripts, process and analyze test data, provide failure identification, characterization and resolution. Write test and data analysis plans/reports, assist Senior Engineers with the resolution of any issues observed, and present findings during meetings to include formal reviews to senior program leadership. Strong collaboration/communication skills are required to support working across various Systems Test disciplines (integrators, testers, analysts, subject matter experts, tool developers, etc.), multiple IPTs, and between Engineering and Production.
U.S. Citizenship status is required as this position will need a U.S. DoD Security Clearance upon start date.
This position may require travel in support of field testing and flight testing at various test sites. Seeking a candidate to fill a full time position located in Huntsville, AL.
The candidate must be able to work independently with minimal supervision, but have good judgment as to engage additional and appropriate engineering resources when needed.
Required Experience:
U.S. Citizenship required
A minimum of 2 (two) years of technical/engineering experience in Systems / Integration & Verification
Experience with Electronics, Computers and Mechanical systems
Experience with and understanding of troubleshooting and failure analysis processes
Experience performing real time data collection / analysis (including telemetry)
Desired Skills:
Able to perform successfully in an environment with frequent and direct interaction with customers and peers
Able to work well in diverse teams and have the ability to multi-task
Able to travel to domestic field sites on occasion
Strong analytical and problem solving skills
Customer oriented and results driven
Basic understanding and use of lab/field test equipment
Experience with Verification and Validation methods and associated activities
Able to create integration and verification strategies to support efficiency improvements
Excellent communication (oral and written) skills
Understanding of Failure Review Board (FRB) process with respect to logistical and methodical failure isolation and disposition
Experience with Test Equipment and Hardware Integration, Integration & Test, Data Analysis
Technical writing skills (Test Plans, Test Procedures, Data Analysis Plans, Test Reports)
Knowledge of FRACAS (failure identification/characterization/resolution)
Familiarity with telemetry systems/architecture/data and telemetry database development
Working knowledge of MATLAB or similar programming language
Required Education and experience (including Major):
BS in Engineering or Related field (Preferred Majors: Electrical, Aerospace, Mechanical, Software, Physics or Systems) and 2 years of relevant experience
This position requires the successful issuance, transfer or maintenance of any clearances and/or accesses necessary for the position. Additional detail regarding security clearance factors can be obtained by accessing the DISCO website at: https://www.state.gov/security-clearances
160002
Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. | 3.7 | Raytheon
3.7 | Huntsville, AL | Waltham, MA | 10000+ employees | 1,922 | Company - Public | Aerospace & Defense | Aerospace & Defense | $10+ billion (USD) | -1 | 0 | 0 | 49 | 76 | 62.5 | Raytheon
| AL | 0 | 98 | 0 | 0 | 0 | 0 | 1 |
Senior Research Analytical Scientist-Non-Targeted Analysis | $43K-$88K (Glassdoor est.) | RTI International is seeking a Senior Research
Analytical Scientist with experience conducting non-targeted analysis,
including data processing and reporting, to propose and lead complex research
projects.
Ideally, you would build a sustainable research program and
provide non-targeted analytical support of environmental and biological samples
for current Discovery Sciences projects, including the National Toxicology
Program (NTP), the National Park Service (NPS), the Environmental Protection
Agency (EPA), and others.
The Discovery Sciences team has been active in
supporting projects for more than 30 years, providing key chemistry and other
chemical characterization, research, and analysis services. For example, our
scientists perform a broad array of chemical analyses, including:
High-throughput
screening
Analytical
method development
Chemical
characterization
Dose
formulation development and dose analysis
Biosample
analysis
Stability
measurements
Pharmacokinetic
studies
In this role, you will be expected to develop
and lead multidisciplinary research teams with your primary responsibilities
including but not be limited to:
Research
and service proposal development for public and private sector clients
Expansion
of RTI’s non-targeted analytical capabilities
Expansion
of RTI’s scientific stature, including peer-reviewed manuscripts and
presentations at national and international conferences
Development
of RTI staff members
Leading
strategic, transdisciplinary proposals, including epidemiology, environmental
monitoring, health equity, disaster recovery, and international development
studies
Qualifications:
Ph.D.
in a chemistry, environmental sciences, or a related discipline
10
years of related post-graduate professional experience
A
strong track record of peer-reviewed publications
A
demonstrated ability to propose and lead complex projects
A
demonstrated experience developing and retaining staff’
Strong
verbal, interpersonal, and written communication skills
A
demonstrated understanding of instrumentation and software tools needed to
collect, process, and interpret non-targeted analytical data
A demonstrated track record of thought
leadership and external funding support
#LI-BM1 | 4.3 | RTI International
4.3 | Durham, NC | Research Triangle Park, NC | 1001 to 5000 employees | 1,958 | Nonprofit Organization | Research & Development | Business Services | $500 million to $1 billion (USD) | Westat, Abt Associates, Chemonics International | 0 | 0 | 43 | 88 | 65.5 | RTI International
| NC | 0 | 62 | 0 | 0 | 0 | 0 | 0 |
Data Scientist | $61K-$109K (Glassdoor est.) | Description
The core data science team at Dick's Sporting Goods is seeking a data scientist to support product teams within the technology organization. The team builds end-to-end machine learning solutions that drive business value in all parts of the organization. A few examples of projects that the team is currently working on are demand forecasting, search algorithm optimization, supply chain optimization, and visual search. We are looking for diverse teammates with strong technical skills who also have a passion for learning and deploying the latest machine learning algorithms. An ideal candidate will have a knowledge base in forecasting and/or optimization.
The Role You'll Play:
Machine Learning Applications & Analyses
Apply machine learning and data mining techniques to extract actionable insights from large-scale, high-dimensional data.
Build end-to-end algorithmic solutions that focus on improving the customer's experience both in-store and on our website.
Compile data from disparate data sources leveraging both qualitative and quantitative data to build holistic views of customer's experience.
Communicate and present complex analyses and models to all levels of leadership across the organization.
Client Liaison
Work with a variety of business units throughout the organization to help translate their requirements into specific analytical deliverables.
Continue to improve and advance communications and collaborations amongst the various analytics teams and business units.
Training
Lead or support formal and/or informal training for team members on the various tools used for team members within the analytics team or client teams.
Qualifications
Education
Master's Degree Preferred In: Statistics, Computer Science, Operations Research, Engineering, Mathematics, Economics, or other quantitative fields
Additional experience will be considered in lieu of an advanced degree.
Experience/Technology
One to three years of experience
Statistics / Machine Learning with applications in R or Python.
Practical experience with SQL or a SQL-like language.
Creating visualizations and presentations for non-technical users.
Bonus Points
Publication in top conferences or journals
Experience applying machine learning techniques in a retail environment
Experience with Kubernetes based systems such as Kubeflow
Experience with any of the following: time-series forecasting and/or optimization
Experience in a deep learning framework such as Tensorflow or PyTorch | 3.8 | DICK'S Sporting Goods - Corporate
3.8 | Coraopolis, PA | Coraopolis, PA | 10000+ employees | 1,948 | Company - Public | Sporting Goods Stores | Retail | $5 to $10 billion (USD) | REI, Academy Sports + Outdoors, Cabela's | 0 | 0 | 61 | 109 | 85 | DICK'S Sporting Goods - Corporate
| PA | 1 | 72 | 1 | 0 | 0 | 0 | 0 |
Principal Data Scientist | $113K-$182K (Glassdoor est.) | At AstraZeneca we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a passion for discovery and a pipeline to show for it. Were pioneering innovative research and exploring novel pathways across key therapeutic areas including oncology, respiratory, inflammation and autoimmunity, cardiovascular and metabolic disease, and infection and vaccines. And were industry-leading in immunology, protein engineering and translational science. We offer a unique and strong collaborative network as together we explore synergies between small and large molecules.
AstraZeneca has a dynamic environment that fosters collaboration and innovation. We attract top minds, and we nurture and build top talent.
Those who join AstraZeneca feel a sense of ownership about their future. They thrive with a recognized leader in the industry. AstraZeneca is an agile, fast-moving and emerging industry leader in oncology. We are a nimble organization that values smart risk-takers.
With AstraZeneca, you will be applying a creative approach to science while being at the forefront of a strong and rich pipeline of cutting-edge medicines. Here, you will join passionate professionals who advance science, technology and medicine to develop products designed to help people live better lives. You will excel in an environment characterized by respect, integrity and growth opportunities.
Our Oncology Pipeline
Our robust pipeline includes investigational therapies in varied stages of clinical development, from recently approved products to earlier-stage molecules in clinical trials. We aspire to transform the lives of cancer patients, working to eliminate cancer as a cause of death in the future.
Principal Data Scientist, Oncology
The Machine Learning and AI team in AstraZenecas Oncology Data Science group is where we develop and apply sophisticated algorithms and techniques to solve the hardest problems in oncology drug discovery and development. The team uses their scientific, quantitative, and problem-solving skills to work on a broad range of challenges across the whole oncology portfolio, working collaboratively with other scientists across a range of disciplines to scope, define, and deliver projects that both advance the state of the art in data science and accelerate the delivery of innovative medicines to patients.
NOTE: This position can be filled in either GAITHERSBURG MARYLAND OR WALTHAM, MASSACHUSETTS
As a Principal Data Scientist, you will play a key role on the front line in this rapidly growing team working to extract insight from complex biomedical data. You will develop your leadership skills and apply and develop your expertise in rigorous quantitative data science to provide solutions to a variety of data science problems, researching, recommending and delivering novel methodologies to solve the problems that matter to the oncology pipeline.
Examples of projects the team works on include developing machine learning models for digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyse wearable data, linking of medical imaging data with omics and longitudinal outcomes to identify and/or validate new drug targets, and much more!
Typical Accountabilities
For our Principal Data Scientist you will additionally be accountable for:
Developing novel data science and machine learning solutions where off-the-shelf methodologies do not fit.
Leading small (2-3 person) data science projects of defined scope.
Coaching/mentoring junior data scientists and others to drive the development of data science as an AZ capability.
Education, Qualifications, Skills and Experience
Essential for our Principal Data Scientist
MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Extensive hands-on experience applying data science tools in practice.
Practical software development skills in standard data science tools (such as R or python)
Extensive knowledge of mathematical modelling and statistical modelling techniques and drive to continue to learn and develop these skills
Outstanding communication, business analysis and consultancy
Desirable
PhD degree in rigorous quantitative science (such as mathematics, computer science, engineering).
Experience within the pharmaceutical industry.
In-depth experience of working in a global organization with complex/geographical context | 3.9 | AstraZeneca
3.9 | Gaithersburg, MD | Cambridge, United Kingdom | 10000+ employees | 1,913 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Roche, GlaxoSmithKline, Novartis | 0 | 0 | 113 | 182 | 147.5 | AstraZeneca
| MD | 0 | 107 | 1 | 0 | 0 | 0 | 1 |
Director Data Science | $124K-$199K (Glassdoor est.) | We’re looking for a director to drive our data science and analytics group forward! You’ll be joining a group of curious, smart, technically minded yet business savvy data scientists looking to make a difference to the company by designing and building out our data decisioning capabilities from the ground up!
The Director of Data Science is passionate about using data and insights to drive business strategy and develop data products. A successful candidate will manage more junior data scientists and help build out the team further. They would also work to identify and prioritize initiatives to deliver value to our internal stakeholders. The ideal candidate would have experience managing a data science team, managing stakeholders, and working cross functionally. This person would have real world experience “in the data trenches” as a data scientist. We expect this person to have a passion for leading a team, strong analytical skills, and a strong desire to make an impact in our growing data science practice!
What you’ll do:
· Become the domain expert of 1-2 areas of the Tranzact business (i.e. retention, call center effectiveness, etc.) and contribute to the advancement of that area through thought leadership
· Find new and improved ways for us to use data in our products, operations, and business strategies
· Mentor, develop, and motivate more junior data scientists and analysts
· Facilitate data-driven decision making and prioritize initiatives
· Develop strong cross functional partnerships with business and technology stakeholders
· Lead new projects and initiatives starting from understanding business needs to execution and presenting to and influencing stakeholders.
· Act as a subject matter expert with all things data
· Work to build out the data science team as we grow
What we do:
We achieve competitive advantage through data-driven marketing and full management of the customer experience.We’re constantly refining our technology and our strategies, that’s why we’re the industry leader in delivering the best results to the top insurance brands in America.
That’s not just lip service either, we’re consistently awarded partner of the year from brands like AFLAC, Humana, and more. Our work has also been featured on The Dr. Oz Show, Forbes, and Vox -- to name a few.
We want people who fit within our Be Real culture. We want a diversity of programmers and writers and designers and data scientists and strategists and more. We’re made up of introverts and extroverts, suits and rebels, corporate types and anti-corporate types. We’re an environment where every person feels their full potential is only limited by their ability to conceive of it and make it happen.Our company grew from entrepreneurial roots but has big company resources to get amazing things done.
What we’re looking for:
· BA/BS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)
· 7+ years of experience in a data science ideally related to marketing, business operations, or customer retention
· Experience managing and mentoring data scientists
· Experience conducting analyses to drive business impact
· Ability to communicate findings clearly and deep understanding of your current business
· Proficiency with Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)
· Ability to manage multiple projects and deadlines
· Experience communicating strategy and results to different audiences
· Ability to work cross functionally and influence others
· A lifelong learner that is excited to learn new data science technologies and apply those to technologies to our business
· Ability to be objective and follow the facts, cut through noise and create a story with data.
· Thrives in a fast-paced environment that is constantly changing
What’s in it for you:
· Medical, dental, vision, paid time off/holidays, 401(k), and bonus opportunity
· Frequent office events and outings
· Employee development programs, conference and training reimbursement
· Work remote flexibility
· Joining a growing and exciting team making a big impact on the business!
TRANZACT, a Willis Towers Watson Company, is an Equal Opportunity/Affirmative Action employer and voluntarily complies with the laws and regulations related to employment without regard to race, color, religion, sex, national origin, marital status, sexual orientation, age, status as a protected veteran or individual with a disability, ancestry, gender, gender identity or expression, or any other protected group status or non-job related characteristic protected by applicable human rights or equal opportunity legislation. We are a company that values diversity. As required by law, we must record certain information to be used as part of our Affirmative Action Program. In extending this invitation you are advised that (a) response data is used for periodic government reporting and will remain confidential within Human Resources department; (b) responses are used solely to help us comply with government record keeping, reporting and other legal requirements. | 3.6 | TRANZACT
3.6 | Fort Lee, NJ | Fort Lee, NJ | 1001 to 5000 employees | 1,989 | Company - Private | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 124 | 199 | 161.5 | TRANZACT
| NJ | 1 | 31 | 1 | 0 | 0 | 1 | 1 |
Data Engineer | $58K-$104K (Glassdoor est.) | Job Summary
Be at your best with an organization that equips you to do so. Whose people unite in making lives better. At Carilion Clinic, we help communities stay healthy and our region grow stronger through compassionate care, medical education and research, and neighborhood outreach. As part of our team you can expect professional stability, strong technological resources, and the advancement potential of a regional leader.
Based in Roanoke, VA, we are an award-winning, community-based network of hospitals, primary and specialty physician practices, and affiliations with prestigious academic medical institutions. Explore how joining a regional leader can enhance your ability to learn, grow, and succeed.
Minimum Qualifications
Education: Bachelor’s degree in computer science, information systems, health care business or equivalent experience required. Master’s degree preferred.
Experience: Minimum: 6+ years of relevant experience required. Minimum: 3-5 years working with enterprise data sources and ETL tools such as IBM DataStage or Informatica. Preferred: Financial and healthcare knowledge. Experience supporting technical service delivery relationships. Experience translating business needs into designs and specifications. Experience managing projects, testing and quality control. Experience with metadata management. Experience with data profiling and data quality analysis. Experience working with a coordinated data management environment (CDME) preferred. Experience facilitating requirements definition meetings/sessions using structured approaches such as Joint Application Development (JAD). Experience with IBM InfoSphere and IBM data models a plus. Proficient with dimensional databases, cubes and columnar data structures. Proficient with Microsoft Office applications such as Office, Project, Visio, SharePoint,
Licensure, certification, and/or registration: Maintain application vendor certifications as needed. Valid VA driver’s license. Preferred certifications: ITIL V3, CBAP, CBIP, CDMP, DGSP, PMP.
Other Minimum Qualifications: Strong listening skills. Strong verbal and written communication skills demonstrating proper business use of grammar and punctuation. Strong presentation skills clearly conveying information, ideas, concepts, and instructions to a variety of audiences. Meeting management skills including agendas, facilitation, minutes and time management Negotiation skills to resolve conflict and build cooperation.
Our Values
Below are our core values that we strive to embody and expect of all our team members:
CommUNITY: Working in unison to serve our community, our Carilion family and our loved ones.
Courage: Doing what’s right for our patients without question.
Commitment: Unwavering in our quest for exceptional quality and service.
Compassion: Putting heart into everything we do.
Curiosity:Fostering creativity and innovation in our pursuit of excellence.
same as internal | 3.7 | Carilion Clinic
3.7 | Roanoke, VA | Roanoke, VA | 10000+ employees | 1,899 | Nonprofit Organization | Health Care Services & Hospitals | Health Care | $1 to $2 billion (USD) | -1 | 0 | 0 | 58 | 104 | 81 | Carilion Clinic
| VA | 1 | 121 | 0 | 0 | 0 | 0 | 1 |
Sr Data Analyst - IT | $52K-$93K (Glassdoor est.) | Position Summary
The Senior Data Analyst drives pharma client analytics solutions for United BioSource Corporation (UBC), supporting many of the world’s largest pharmaceutical companies to improve patient lives, support drug safety programs, and help manage new Clinical studies.
Responsibilities
· Build and continually improve Tableau dashboard offerings for business partners.
· Monitor and analyze business performance, providing targeted dashboards and recommendations for operational improvement.
· Serve as Subject Matter Expert (SME) for business data, systems and processes under team’s area of support.
· Write and edit SQL code to ensure data is pulled optimally.
Required Qualifications
· BS in a technical field (BI, Analytics, Data Science, IS, Computer Science, etc).
· Advanced SQL skills.
· Advanced dashboard design skills, including 2+ years of experience with a dashboard toolset (Tableau, Qlik, Domo, Birst, etc).
· 2+ years of data analysis experience.
· Excellent communication and presentation ability.
· Excellent project management skills.
· Highly self-motivated.
Preferred Qualifications
· MS in a Data-related field (BI, Analytics, Data Science, etc).
· Expert-level SQL skills
· Expert-level Tableau skills.
· Advanced R skills.
· Healthcare (ideally pharma) experience.
·Minimal travel is required (
#LI-SF1 | 2.1 | United BioSource
2.1 | Blue Bell, PA | Blue Bell, PA | 1001 to 5000 employees | 2,003 | Other Organization | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $100 to $500 million (USD) | Covance, ICON | 0 | 0 | 52 | 93 | 72.5 | United BioSource
| PA | 1 | 17 | 0 | 0 | 0 | 0 | 1 |
Senior Data Engineer | $97K-$181K (Glassdoor est.) | About Us
Figure Eight is the essential Human-in-the-Loop Machine Learning platform for data science and machine learning teams. The Figure Eight platform transforms unstructured text, image, audio, and video data into customized high-quality training data to make AI work in the real world. Figure Eight's technology and expertise supports a wide range of use cases including autonomous vehicles, intelligent personal assistants, medical image labeling, consumer product identification, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.
Headquartered in San Francisco and backed by Canvas Ventures, Trinity Ventures, Industry Ventures, Microsoft Ventures, and Salesforce Ventures, Figure Eight serves Fortune 500 and fast-growing data-driven organizations across a wide variety of industries. For more information, visit www.figure-eight.com.
About the Role
Figure Eight users range from engineers and data scientists to subject matter experts creating training data for machine learning. You will be working on the most important problems in technology today: how can humans and AI collaborate to solve important and sometimes complicated tasks?
As a member of our core team, you will design, build, and improve on tools used by many of the most widely-known tech companies with large-scale machine learning initiatives active today. This may include collecting and managing training data for AI models, evaluating the performance of the machine learning models used by that data, or building infrastructure and managing data pipelines. Specifically, you will work on a generalized annotation API that consists of both automated and human-driven annotation tools for 2D and 3D images, video, text, and audio data. The platform will combine human input (eg: bounding boxes on objects) and Machine Learning input (eg: automatic object tracking in videos) for maximum efficiency and effectiveness. You will be on a cross-functional team collaborating with members of the Product, Machine Learning, Dev Ops, and Backend Engineering teams.
Your work will consist of implementing new features and services, maintaining infrastructure, and migrating existing services to a SOA/microservice-based architecture. Youll mentor less experienced developers and constantly work on improving your own skills and the quality of our code-base. For more about what we build, please visit www.figure-eight.com/overview
The Ideal Candidate:
You enjoy thinking about and working on enterprise-level data management systems. You are looking for a company at the epicenter of a rapidly-developing machine learning industry and are driven by a hunger to learn and develop your skills. You are passionate about working on a project that contributes meaningfully to the further development of technology and to humanity as a whole. You care about best practices and you choose the tools you work with judiciously and deliberately. You have strong analytical skills, an unwavering commitment to quality, an open-minded and collaborative work ethic, and cutting-edge coding skills.
Responsibilities / Opportunities:
Build & maintain low-latency, high-scalability data pipelines in service of our human-in-the-loop machine learning workflows platform.
Build & maintain adapter services for ingesting data from a wide variety of streaming and batch-based sources.
Build & maintain services for throttling, backpressure, schema management, and normalization.
Implement QA and testing strategies. Promote best practices for writing maintainable code.
Participate in selecting tools and setting development standards at Figure Eight.
Ability/readiness to develop excellent working relationships with a diverse team of peers across organizations (Engineering, QA, DevOps, Product, Design, et al).
Competencies:
5+ years of software development experience in cloud-based, multi-tiered, enterprise application systems.
5+ years managing data platforms/engineering using enterprise service bus or message-based architectures, such as Kafka, Redis, RabbitMQ, or similar.
3+ years production environment-level experience with Ruby on Rails application development.
Hands-on experience with developing microservices and successfully building products using SOA.
Hands-on experience with event-sourcing and functional programming patterns.
Hands-on experience with AWS, Git, Docker, Gradle, Jenkins, Jira, and Confluence.
Nice-to-have Competencies:
Familiarity with batch processing and workflow tools such as Airflow, Luigi, Celery, or others
Prior production experience with Python, Java, and/or Scala.
Familiarity with basic machine learning concepts.
Figure Eight offers an attractive total compensation package including outstanding benefits and stock options. Learn more about our culture at https://www.figure-eight.com/company/careers/. | 3.9 | Figure Eight
3.9 | San Francisco, CA | San Francisco, CA | 51 to 200 employees | 2,008 | Company - Public | Computer Hardware & Software | Information Technology | $10 to $25 million (USD) | -1 | 0 | 0 | 97 | 181 | 139 | Figure Eight
| CA | 1 | 12 | 1 | 0 | 0 | 1 | 1 |
Senior Data Engineer | $100K-$173K (Glassdoor est.) | Position Title: Senior Data Engineer
Position Description / Responsibilities:
Tapjoy is seeking a Senior Engineer in our Data Science group who will work closely with Data Scientists, Data Platform, and Ad Server Engineering teams to help productionalize, scale, and support Tapjoy's Optimization platform. We are looking for someone who has had experience working with vast amounts of data, scaling systems, and, supporting low-latency applications.
Essential duties and responsibilities may include, but are not limited to:
Design and build scalable, personalized ad-serving algorithm REST service API with Data Scientists Design and create a robust service that serves a high volume of requests
Implement generalized a/b test frameworks to support multivariate testing covering component change/user segmentation and bucketing / metadata driven auto experiment set up, etc.
Competencies:
You possess strong computer science fundamentals, including knowledge of data structures, algorithms, and object-oriented design
You have strong SQL understanding and some data analysis experience.
You have experience with or interest in Java, and interfacing with REST APIs Is self-directed and self-driven Is results-oriented with a high emphasis on "on-time" delivery of projects and features
Values collaboration with various teams and stakeholders highly
Communicates often and well about potential roadblocks and tradeoffs between performance and complexity
Requirements:
B.S. or M.S. in Computer Science
3+ years of Software Engineering experience (preferably with Java)
Strong knowledge of data structures, SQL, software design patterns and algorithms (i.e., indexing, hash tables, joins, aggregation)
Knowledge of low-latency, high-throughput services
Strongly prefer someone who has had experience with big data platforms and challenges that come with large scale platforms.
Prefer someone who understands general machine learning and data mining concepts
Experience with advertising industry is a big plus
Tapjoy is a leading mobile advertising and app monetization company. Our platform empowers advertisers to connect with over 975 million monthly active users through value exchange advertising that drives awareness, engagement and the metrics that matter most to their overall growth. Meanwhile, companies such as Scopely, Crowdstar, Topps and many of the Top 200 grossing app publishers trust our platform to monetize their content, grow their audiences and reward their users. Founded in 2007 and headquartered in San Francisco, Tapjoy is a global organization with more than a dozen offices worldwide.
Tapjoy is an equal opportunity employer. We believe that diversity and inclusion lead to stronger, more innovative teams and better business results; we want to draw from the broadest talent pool possible and encourage qualified applicants. Tapjoy does not discriminate on the basis of sex, race, ethnicity, color, age, sexual orientation, gender (including identity and expression), disability (mental or physical), religion, national origin, citizenship, marital status, military or veteran status, or any other protected classification protected by applicable law; we will provide reasonable accommodations for qualified individuals with disabilities, and pursuant to applicable fair chance ordinances, we will consider for employment qualified applicants with arrest and conviction records.
For more information, please visit www.tapjoy.com.
]]> | 3.9 | Tapjoy
3.9 | San Francisco, CA | San Francisco, CA | 201 to 500 employees | 2,007 | Company - Private | Internet | Information Technology | $10 to $25 million (USD) | FLURRY, Chartboost | 0 | 0 | 100 | 173 | 136.5 | Tapjoy
| CA | 1 | 13 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Analyst | $58K-$108K (Glassdoor est.) | Senior Data Analyst - Engineering
Location: Soho, Manhattan, NYC
About the Company
DoubleVerify is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com
Position Overview
As Senior Data Analyst - Engineering, you will work with various teams and stakeholders (Product, Engineering) to analyse large-scale data for monitoring, anomaly detection, and various business use cases, helping our clients make smarter decisions that continuously improve their ad-impression quality.
Responsibilities
Work with a group of highly motivated individuals who are passionate about delivering best-in-class measurement solutions to some of the largest Advertisers and brands.
Analyze data at scale, be able to interpret data to identify trends and actionable insights to help build lasting solutions.
Contribute to the development of DV's suite of data products and support ad-hoc data analysis requests from various internal teams (Engineering, Product, Account Managers, DataOps and DevOps)
Work with Data Engineers to design Data Models, improve data quality, perform discrepancy analysis, build reports, and automate decision making and workflow.
Contribute to the overall health of data-pipelines by designing, building, and maintaining visual dashboards that keep track of critical metrics.
Requirements
You have 5+ years of experience in data engineering, data analysis and data visualization
You don't like leaving questions unanswered, and you love exploring/understanding data
You have a passion for data and for transforming numbers into critical business insights
You have the technical expertise required for the role:
Experience in Data Modelling, Data Access, and Data Storage techniques
Proficient in SQL preferably in Vertica, Hive, SparkSQL, BigQuery or Presto
Python, Scala and Spark experience is a plus
Experience in Splunk/ElasticSearch with Visualisation on Kibana is a plus
You care about agile software processes, data-driven development, and responsible experimentation
You have BS / MS in Computer Science/Engineering or relevant field
You have excellent communication skills and are a team player
You have experience preferably in AdTech Domain | 3.2 | DoubleVerify
3.2 | New York, NY | New York, NY | 201 to 500 employees | 2,008 | Company - Private | Internet | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 58 | 108 | 83 | DoubleVerify
| NY | 1 | 12 | 1 | 0 | 1 | 0 | 1 |
Research Scientist or Senior Research Scientist - Computer Vision | $81K-$161K (Glassdoor est.) | 25 years of innovation
The Computer Vision Group at MERL conducts fundamental, academically oriented, cutting-edge research that is applied to challenging industrial problems such as object, action and scene understanding, robotic vision, and autonomous driving, as well as surveillance and monitoring systems. MERL has been setting the standard for excellence in the field for over 25 years. Before deep learning became popular, MERL published one of the first papers on a learning-based approach for super-resolution of images, and starting with the publication of the landmark Viola-Jones face detection paper, MERL has steadily contributed to the state-of-the-art in the detection & classification of objects & actions.
With more than 25 years of innovation, MERL is proud to foster an environment that gives researchers the opportunity to set their own path and pursue their passions. The culture at MERL, which values both fundamental scientific contributions and its application to real business, allows for all of our researchers to become leaders in their field. There is no other industrial lab with this level of freedom and flexibility.
Set your own path at MERL
Successful candidates will identify new problems and solutions that are fundamental to the field and broadly useful. You will conduct research to evaluate your solutions, and publish your results in selective peer-reviewed conferences and journals. Research results are typically transferred to counterparts in Japan for further evaluation and development through collaborative projects and a long-term trusting partnership.
What successful candidates look like
Applicants must have a Ph.D. in Computer Science, Electrical Engineering or related areas focused on Computer Vision, and have a documented track record of creative innovation that has led to successful research outcomes. Candidates with at least 5 years of experience will be considered for senior positions. Applicants are expected to have excellent programming skills, and be able to communicate effectively in both written and verbal forms.
We are looking for Research Scientists and Principal Research Scientists committed to setting their own path in the area of Deep Learning.
Specific problems of interest are related to scene understanding including detection, classification, labeling and prediction of objects and actions in a wide range of environments.
Research Area: Computer Vision
Contact: Alan Sullivan
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Requirements
Ph.D. in Computer Vision
Experience in deep/machine learning using one of the well known APIs such as PyTorch, TensorFlow, Caffe, etc.
Publication record demonstrating that your research is leading edge in the top journals and conferences. | 4.6 | Mitsubishi Electric Research Labs
4.6 | Cambridge, MA | Cambridge, MA | 51 to 200 employees | 1,991 | Subsidiary or Business Segment | Research & Development | Business Services | $5 to $10 million (USD) | Google, Amazon, NVIDIA | 0 | 0 | 81 | 161 | 121 | Mitsubishi Electric Research Labs
| MA | 1 | 29 | 0 | 0 | 0 | 1 | 1 |
Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad | $53K-$96K (Glassdoor est.) | (We are unable to sponsor for this role or in the future)
Fareportal is currently seeking a Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad for our Data Science team.
At Fareportal, we create the technology that is driving innovation in the travel industry - one of the world's fastest-growing sectors. Our employees are the core of our organization and together we're revolutionizing the way people book travel.
Our portfolio of brands including CheapOair and OneTravel receive over 100 million visitors annually and drive over $4 billion in annual revenue.
In addition to competitive pay and benefits, generous time off, and frequent company-wide social events, Fareportal provides employees with an environment that nurtures diversity, creativity, and success. Our open and Agile workspace gives our employees the time and space for collaboration, brainstorming, and research and development. At Fareportal, you'll be challenged, rewarded, and motivated to work effectively day in and day out.
Our Associate Machine Learning Engineer will be handling hundreds of millions of events per day, responsible for creating and supporting machine learning models that will drive our business.
Machine Learning Engineers is at the heart of how Fareportal works and they are part software engineer and part machine learning / data scientist. You will focus on creating and supporting large scale models that we deploy to power our recommendation, pricing or other systems.
The ideal candidate will participate in the design and implementation of the entire model pipeline, from project ideation, figuring out which data to capture and store, coming up with features, to creating the final model.
We are passionate about making data-driven decisions and you will have the opportunity to shape the team's direction and create large impact.
Our team loves Python and Scala (and is not afraid of Functional Programming) and we strongly encourage DevOps approaches.
Responsibilities:
Support our data modeling efforts to ensure we are capturing the data needed to improve our modelin
Create features for our feature store
Build machine learning models
Use a variety of techniques including predictive modeling, recommendation engines, revenue
management, conversion rate optimization, and site and user experience optimization.
Our ideal candidate:
Who You Are
You are smart and love to build systems that are well tested as well as flexible
You like being around smart people who will challenge you on a daily basis.
You love to ramp up on new technologies to build awesome things with us!
Passionate about working with large unstructured and structured data sets and developing new approaches to relevance problems
Requirements
Bachelor in Computer Science, Software engineering, Data Science or related disciplines (we are open to exceptions) - Only May 2020 Undergraduates
Good knowledge of one of: Python or Scala
Solid understanding of object oriented or functional programming concepts
Familiarity with version control concepts
Good knowledge of machine learning
Good knowledge of Pyspark
Good knowledge of software engineering best practices | 3.8 | Fareportal
3.8 | New York, NY | New York, NY | 1001 to 5000 employees | 2,002 | Company - Private | Travel Agencies | Travel & Tourism | $2 to $5 billion (USD) | Expedia Group, Orbitz Worldwide, Priceline.com | 0 | 0 | 53 | 96 | 74.5 | Fareportal
| NY | 1 | 18 | 1 | 0 | 1 | 0 | 0 |
Data Analyst Chemist - Quality System Contractor | $61K-$110K (Glassdoor est.) | The Opportunity:
This is a Contract role through December 2020.
The data analyst chemist is responsible to acquire data from multiple sources, track, trend, and analyze for product stability and shelf life. He/ She will support the Quality system with GMP documentation using Veeva software.
Responsibilities:
General laboratory skills and background knowledge
Assists on interpretation and application of specified QA/GMP compliance regulations, i.e.: 21 CFR Part 210/211.
Acquiring data from primary or secondary data sources and maintaining databases
Interpret data, analyze results using statistical techniques and provide ongoing reports.
Ability to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.
Upload all relevant GMP reports to the quality system software (Veeva). Assists in deviation, change control, and other GMP document upload, review, and approval process with proper workflow in to the GMP system.
Write Annual product review and other compliance documents to support the Quality system.
Performs a wide variety of activities to ensure compliance with applicable quality objectives and regulatory requirements.
Strong understanding of GMP regulations.
Highly collaborative team player, with excellent organizational skills, ability to navigate and be successful in fast-paced and highly-matrixed work environment with changing priorities.
Qualifications:
The successful candidate will have college degree in science or computer or industrial experience.
3 - 5 years of experience required.
Experience using Microsoft Office programs such as Word and Excel
Experience using JMP or Minitab a plus
Knowledge of GMP Quality system (e.g Veeva)
Strong computer, scientific, and organizational skills
Excellent communication (oral and written) and attention to detail
Strong analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
The Company
Rodan + Fields was founded in 2000 by Stanford-trained Dermatologists Dr. Katie Rodan and Dr. Kathy Fields with a passion for giving people the best skin of their lives — and the confidence that comes with it. Today, Rodan + Fields is the #1 Skincare Brand in North America[1] in 2018 and the #1 Skincare Brand in the US in 2016, 2017 and 2018[2]! The company has grown its innovative line of products and expanded into Canada and Australia. Headquartered in San Francisco, CA, R+F now employs approximately 700 people, has more than 300,000 enrolled Independent Consultants and over two million Preferred Customers.
At Rodan + Fields, you will be challenged to make an impact, inspired to do more, and rewarded for your contributions. We are transforming skincare, and we welcome your big ideas to fuel our ambitious growth plans! If you are looking for a life-changing career opportunity, we've got your prescription. You’ll become part of a positive, passionate movement that celebrates greatness and encourages employees to be catalysts for change. We provide a creative, vibrant workplace outfitted with all of the technology, tools and training you'll need to learn, grow and thrive! We create life-changing impact in our communities through our non-profit, Prescription for Change®, the heart of Rodan + Fields. By funding empowerment programs for students, we teach them how to use their skills to make life-changing differences in their lives and the lives of others. Join us and share your talents as we develop innovative solutions for your skin and empower entrepreneurs. In addition to working arm-in-arm with industry leaders, employees at Rodan + Fields enjoy rich benefits plans and perks.
[1] Source Euromonitor International Limited; Beauty and Personal Care 2019 Edition, retail value RSP terms; all channels, Skin Care includes Sets and Kits; North America defined as Canada and the United States
[2] Source Euromonitor International Limited; Beauty and Personal Care 2019 Edition, retail value RSP terms; all channels, Skincare includes Sets & Kits.
*At R+F, we do not engage with Google Hangouts or other social media platforms to schedule interviews or communicate with candidates. Please disregard any messages or notifications from Google Hangouts or other social media messenger platforms regarding interviews or job offers. | 2.2 | Rodan and Fields, LLC
2.2 | San Francisco, CA | San Francisco, CA | 501 to 1000 employees | 2,002 | Company - Private | Beauty & Personal Accessories Stores | Retail | Unknown / Non-Applicable | -1 | 0 | 0 | 61 | 110 | 85.5 | Rodan and Fields, LLC
| CA | 1 | 18 | 0 | 0 | 0 | 0 | 1 |
Senior Scientist - Biostatistician | $65K-$96K (Glassdoor est.) | British American Tobacco
Reynolds American Incorporated is positively transforming the tobacco industry. We’re a family of companies that strives for success in everything we do. The future inspires us because our people are igniting the breakthroughs that are redefining the ways adult tobacco consumers enjoy tobacco in the 21st century.
When other companies talk about growth, they only talk about size. At Reynolds American, we focus on the growth of our people. We take pride in each other’s growth and well-being throughout our careers. We invest in your career and total well-being because we know our companies succeed when our people thrive.
ABOUT OUR ORGANIZATION:
Reynolds American Inc. is an indirect, wholly owned subsidiary of British American Tobacco p.l.c., and the U.S. parent company of R. J. Reynolds Tobacco Company; Santa Fe Natural Tobacco Company, Inc.; American Snuff Company, LLC; Niconovum USA, Inc.; Niconovum AB; R. J. Reynolds Vapor Company; Lorillard Licensing Company, LLC; and Reynolds Brands, Inc.. This position is with RAI Services Company (2200).
Here, you’ll have the opportunity to work on iconic brands and revolutionary products by collaborating with visionary, principled and passionate people every day.
S&RA is currently seeking a qualified Senior Scientist - Biostatistician to support our clinical studies, biomarker research, product and process development, and regulatory projects. The successful candidate will be expected to work collaboratively with various internal and external groups/clients to provide broad statistical support and to manage multiple projects to ensure timelines are met. This position also offers opportunities for acquiring new skills, engaging with regulatory agency (FDA/CTP), publishing research findings, mentoring young scientists and professional growth.
Principal Duties & Responsibilities:
Collaborate with clients to design experiments, develop and review study protocol, statistical analysis plan, and data collection tools, and determine appropriate sample sizes.
Select appropriate statistical approaches and conduct statistical analyses to meet client and/or regulatory requirements. Develop and/or review tables, listings, figures (TLF) and study reports.
Communicate analysis results via written reports, oral presentations, and meetings with key stakeholders. Participate in abstract, poster, or journal article writing.
Work cooperatively with other statisticians and regulatory submission specialists to address regulatory and project-related statistical issues.
Job Requirements:
Education / Experience: Master’s degree with 1+ year relevant experience or PhD degree in statistics, biostatistics, epidemiology, or closely related discipline.
Required Skills:
Proficient in statistical software (SAS, R, etc.) for data analysis (SAS preferred).
Effective oral and written communication skills including technical writing skills.
Ability to successfully manage multiple tasks and projects simultaneously, with a focus on timely and accurate completion of priorities.
Preferred Skills:
Experience in the analysis of clinical, chemical, biological, and/or toxicological data.
Familiar with statistical methods that apply to clinical trial design. Knowledge of CDISC standards (CDASH, SDTM, ADaM, etc)
Ability to drive collaborative efforts cross-functionally and externally.
Excellent attention and accuracy with details. Ability to apply critical thinking and problem-solving skills.
Demonstrated ability to work both independent.
Compensation/Targeted Bonus
Competitive Annual Salary
Targeted Annual Bonus
Relocation assistance available for those who qualify.
Benefit Summary
Our company offers very competitive benefit plans, including:
401(k) plan that offers opportunity to save on pre- and post-tax basis up to 50 percent of eligible compensation. Company matches 100 percent of employee pre-tax/Roth (401k) contributions up to six percent
Comprehensive health- and welfare-benefits package
Eleven paid company holidays annually, plus a generous paid vacation plan based on length of service
Company-paid sick and personal days, funeral leave and jury duty leave
Confidential personal financial counseling service
On-site health clinics and fitness centers
A matching grants program that enables employees to direct and double their donations to qualifying charitable organizations of their choice
Health-care advocacy service
Volunteer service opportunities
Federal credit union membership through Allegacy Federal Credit Union
Extensive training opportunities
Reynolds American Inc. and its affiliated companies is an Equal Opportunity / Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
Our organization offers a level of challenge, responsibility and creativity for motivated employees that stands apart from the crowd.
We are also committed to employing a diverse workforce and valuing different perspectives, experiences and talents to maximize the company's potential for successfully achieving its business objectives.
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
Only applicants requiring reasonable accommodation for any part of the application and hiring process should contact us directly via email at TalentAcquisition@RJRT.com.
California Privacy Notice
Nearest Major Market: Salem
Nearest Secondary Market: Winston
Job Segment:
Chemistry, Toxicology, Scientific, Scientist, Law, Science, Engineering, Legal | 3.1 | Reynolds American
3.1 | Winston-Salem, NC | Winston-Salem, NC | 5001 to 10000 employees | 1,875 | Company - Private | Consumer Products Manufacturing | Manufacturing | $10+ billion (USD) | -1 | 0 | 0 | 65 | 96 | 80.5 | Reynolds American
| NC | 1 | 145 | 0 | 0 | 0 | 0 | 1 |
Research Scientist / Principal Research Scientist - Multiphysical Systems | $115K-$220K (Glassdoor est.) | Mitsubishi Electric Research Laboratories (MERL, http://www.merl.com) located in Cambridge, Massachusetts, USA, invites qualified candidates to apply for the position of Research Scientist or Principal Research Scientist in the Multiphysical Systems Group. Successful candidates will be expected to perform original, relevant research in areas including model-based nonlinear control, estimation, and data-driven optimization for multiphysical systems.
The Multiphysical Systems Group at MERL conducts fundamental, academically-oriented research in model-based design and analysis of complex multiphysical systems, emphasizing thermofluid, electrical power, and mechatronic applications. Using state-of-the-art equation-oriented languages such as Modelica, we construct system-level dynamic models and use them to design new control and estimation algorithms, analyze complex dynamic behaviors, optimize product performance, and prototype new products and services that are enabled by simulation. Current research interests include nonlinear control & model predictive control, data-driven optimization and estimation for large-scale system models, and next-generation tools for scientific computing. Mitsubishi Electric’s broad commercial footprint provides ample opportunities to pursue fundamental research motivated by important industrial applications.
Responsibilities for this position include:
Conducting innovative and relevant research in modeling, design, and analysis of multiphysical systems,
Publishing results in leading technical journals, conferences, and in patent applications,
Partnering with business units, corporate R&D, and academic groups in the execution of R&D projects,
Transferring results and technology to Mitsubishi Electric corporate research laboratories, and
Drafting project proposals and leading research projects.
The successful candidate will bring an independent research agenda and a track record commensurate with experience, and be willing and able to form and work within interdisciplinary R&D teams. This is a leadership position, with an opportunity to shape and drive a corporate R&D agenda, as well as the intent to impact both the academic research field and Mitsubishi Electric businesses. Additional responsibilities may include strategic planning, mentoring and supervision of technical staff and interns, and establishment of academic partnerships depending on seniority.
Requirements
A Ph.D. from an internationally-recognized institution in electrical engineering, mechanical engineering or equivalent, or in applied mathematics,
Experience with constructing and using system-level dynamic models of multiphysical systems of interest,
Knowledge of control theory and experience with model-based control system design,
Strong software engineering skills,
A strong publication record in leading conferences and journals, consistent with experience,
A record for independently proposing and executing research programs with academic impact, and
Strong teamwork, communication, listening, strategic leadership, and teaching skills."
Interested parties must submit a cover letter and a one-page statement of research interests. | 4.6 | Mitsubishi Electric Research Labs
4.6 | Cambridge, MA | Cambridge, MA | 51 to 200 employees | 1,991 | Subsidiary or Business Segment | Research & Development | Business Services | $5 to $10 million (USD) | Google, Amazon, NVIDIA | 0 | 0 | 115 | 220 | 167.5 | Mitsubishi Electric Research Labs
| MA | 1 | 29 | 0 | 0 | 0 | 0 | 0 |
Research Scientist, Machine Learning Department | $71K-$144K (Glassdoor est.) | Are you passionate about helping governments and nonprofits be more effective? We currently have Senior Research Scientist positions for someone with a PhD in AI/ML/Data Science (or related areas), industry experience working on real-world problems, and a passion for social impact. You will lead educational/training programs, applied research projects with government agencies and nonprofits in education, public health, criminal justice, environment, economic development and international development, and research in areas such as interpretability, bias and fairness, and other machine learning methods focused on problems in social sciences and public policy with a strong emphasis on releasing the work through open source code, shared curriculum, and publications.
We are building a new team at Carnegie Mellon University across the School of Computer Science and the Heinz College of Information Systems and Public Policy focused on using AI, machine learning, and data science to have a positive impact on society. Our interdisciplinary group works at the intersection of research, practice, and education to improve society and public policy.
Qualifications:
PhD (or equivalent) degree computer science, statistics, or quantitative social sciences preferred;
3 years of industry/government research experience required working on real-world problems;
Strong Python experience;
Experienced in using databases;
Expertise in data analysis and machine learning using python, especially using modules such as statsmodels, scikit-learn, pandas, sqlalchemy;
Passion for making a social impact and working with governments and nonprofits.
Requirements:
Background check
More information:
Please visit http://www.cmu.edu/jobs/why-cmu to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: http://www.cmu.edu/jobs/benefits-at-a-glance/
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. | 2.6 | Software Engineering Institute
2.6 | Pittsburgh, PA | Pittsburgh, PA | 501 to 1000 employees | 1,984 | College / University | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 71 | 144 | 107.5 | Software Engineering Institute
| PA | 1 | 36 | 1 | 0 | 0 | 0 | 0 |
Foundational Community Supports Data Analyst | $32K-$57K (Glassdoor est.) | Job Title: Foundational Community Supports Data Analyst
Days Off: Saturday, Sunday
Pay Range: $42,673 - $48,281 annually
Shift: Office Day (9am-5pm)
Location: 515 admin Office
Region: Pioneer Square/Downtown
Insurance Benefits: Medical, Dental, Life, Long-term Disability
Other Benefits: Employee Assistance Program (EAP), Flexible Spending Account (FSA), ORCA card subsidy, Paid Time Off (34 days per year), Retirement Plan
JOB DEFINITION:
Foundational Community Supports (FCS) Data Analyst is a member of a multi-disciplinary team that will support DESCs mission by using data queries, creating reports, and providing administrative services for programs leveraging the 1115 Waiver. Considerable attention and skills are needed in the areas of data analytics, presentation, and problem solving. The FCS Data Analyst will work closely with the Senior Manager of Policy and Program Analytics to ensure programs leveraging Medicaid Waiver dollars are complying with all applicable laws, regulations and contract requirements.
MAJOR DUTIES AND RESPONSIBILITIES:
Use data sources to perform validation and quality control checks to track performance and compliance in identified areas.
Provide data management and analysis and create queries and use custom reports from databases.
Assist with the collection of data and analysis requested by 1115 Waiver Programs.
Research, audit, and investigate proper payment of claims.
Assist in various quality assurance activities, including but not limited to fidelity audits.
Submit billing to Amerigroup through Availity portal.
Collaborate with the Housing and Quality and Information Management Departments and other DESC partners to scope, design, and validate recurring and ad hoc reports.
Document project details and maintain report specifications that clearly describe how the report works and work with end-users to ensure usage and usability.
Serves as a subject matter expert for department managers on documentation standards that comply with regulatory requirements.
Serve as a liaison between Amerigroup and DESC on all administrative matters.
Comply with all agency policies and procedures, relevant Washington Administrative Code, RCWs, and HIPAA Privacy Rules;
Attend and participate in relevant team meetings, agency sponsored trainings and all-staff meetings.
Other duties as assigned.
MINIMUM QUALIFICATIONS:
Bachelors or associates degree, or 2 years of highly relevant paid work experience and formal training in data analytics and financial accounting to demonstrate an ability to successfully perform the job.
Strong computer skills, including using word processors, analyzing Excel spreadsheets, and writing SQL queries.
Strong oral and written communication skills and ability to work effectively with staff from various backgrounds and disciplines.
Ability to organize and coordinate work efficiently; prioritize workload, work under pressure with tight timelines and changing priorities.
Ability to work independently with a minimum of supervision, and act on own initiative, within agency procedural guidelines.
Initiative and creativity in problem solving and system development.
Willingness to be flexible and work cooperatively with co-workers to accomplish all responsibilities of the team.
Subscribe to philosophy of cooperation and continuity across programs, and of consideration and respect for clients.
Experience working with homeless, mentally ill and/or substance abusers desired.
Appropriate safeguarding and handling of confidential and proprietary information.
EQUAL OPPORTUNITY EMPLOYER
DESC is committed to diversity in the workplace, and promotes equal employment opportunities for all staff members and applicants. The Agency will not discriminate against any employee or applicant for employment on the basis of race, creed, color, sex, sexual orientation, age, national origin, marital status, or the presence of any sensory, mental or physical disability in any employment practice, unless based on a bona fide occupational qualification. Women and minorities are encouraged to apply. | 3.4 | DESC
3.4 | Seattle, WA | Seattle, WA | 501 to 1000 employees | 1,979 | Nonprofit Organization | Social Assistance | Non-Profit | $25 to $50 million (USD) | -1 | 0 | 0 | 32 | 57 | 44.5 | DESC
| WA | 1 | 41 | 0 | 0 | 0 | 1 | 1 |
Senior Health Data Analyst, Star Ratings | $79K-$136K (Glassdoor est.) | The Star Ratings Senior Health Data Analyst is responsible for the creation, development, and communication of Star Ratings targets, performance and ongoing reporting; providing specialized analytics and data driven insights to myriad business units through the organization. In a collaborative manner, will provide data-driven guidance to support the organizations goal of providing executive leadership, domain owners, and external providers with actionable intelligence related to the performance of Star Ratings measures. This position is responsible for providing insights and recommendations using statistical and quantitative analysis coupled with explanatory and predictive modeling to drive focused decision making.
A. Education:
Masters degree in Computer Science, Statistics, Information Technology, Economics, Health Economics, Epidemiology or closely related analytic field is required. Bachelors degree and equivalent work experience may be substituted.
B. Knowledge:
Requires knowledge of research methods, managed care, information systems, data extraction and manipulation, databases, and predictive modeling.
C. Skills:
Requires strong communication and interpersonal skills to be able to interact with all levels within the organization. Must be able to work as a member of a problem solving team. Strong analytical and computation skills, with significant experience with data manipulation packages and techniques.
Ability to communicate and present results of analyses with a variety of internal and external audiences, both written and verbally. Advanced SQL query skills and ability to interpret complex data from multiple data sources and develop findings and recommendations.
MS Office Suite experience, SQL and SPSS or other statistical package experience required.
Ability and willingness to master new software and statistical languages.
Demonstrated attention to detail and accuracy.
Must be able to work as a member of a problem solving team.
Demonstrated familiarity with statistical methodologies and automation techniques for analytic tasks.
D. Required Licensure, Certification, Etc.:
None
E. Work Experience:
Requires 7 years of experience with proven skills in analyzing and interpreting data. Demonstrated experience with executing data-based projects from initiation to completion; prior project management experience preferred. 2 years of experience with Medicare/Medicaid or similar healthcare clinical/claims data strongly preferred.
F. Machines, Tools, Equipment:
Must be able to operate general office and communications equipment including a computer | 3.3 | Johns Hopkins Health Care
3.3 | Glen Burnie, MD | Baltimore, MD | 1001 to 5000 employees | 1,889 | Company - Private | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | MedStar Health, University of Maryland Medical Center, LifeBridge Health | 0 | 0 | 79 | 136 | 107.5 | Johns Hopkins Health Care
| MD | 0 | 131 | 0 | 0 | 0 | 0 | 0 |
Principal Research Scientist/Team Lead, Medicinal Chemistry - Oncology | Employer Provided Salary:$120K-$145K | Principal Research Scientist/Team Lead, Medicinal Chemistry
Location: Cambridge, MA
Kronos Bio seeks a highly motivated Principal Research Scientist to join its chemistry team located in Cambridge, MA. As a member of the discovery/medicinal chemistry team, this individual will contribute to the establishment of a proprietary compound library through traditional and parallel synthesis and optimize hits and lead series toward a drug candidate. The Scientist will be responsible for independently developing and implementing medicinal chemistry strategies that effectively surmount complex research problems and facilitate the achievement of key corporate goals – on time and on budget. This individual will act as chemistry project leader for a new project and manage CRO-based chemists, while maintaining close interactions with computer assisted design scientists, biologists, pharmacologists, and pharmaceutical development scientists. The applicant is expected to have strong experimental skills, good communication ability, eagerness for learning, and contribute to a strong culture of teamwork and collaboration.
Principal Duties and Responsibilities
Responsible for communicating project updates to management team, internal colleagues and external collaborators
Coordination of project activities with other disciplines including structural biology, target compound profiling, biology and pharmacology
Seize opportunities to pursue project relevant leads that are in line with the group's strategy, and be responsible for developing new SAR/series
Design analogues and direct a small team of CRO based medicinal chemists in the synthesis of analogues
Ensure quality of work and data generated
Troubleshoot synthetic schemes as needed
Manage timelines for deliverables
Facilitate communications between chemists and serve as the primary point of contact with the CRO
Independently execute syntheses of target compounds.
Independently extend existing synthetic routes.
Be able to understand failed reactions and propose modifications.
Understand and apply knowledge of the chemical and biological issues affecting the project.
Contribute new ideas to the project team.
Utilize literature searches to solve specific research problems.
Job Qualifications·
PhD with 5+ years industry experience in pharmaceutical hit-to-lead optimization
Management of external / CRO driven medicinal chemistry campaigns.
Simultaneously balance multiple tasks.
Show initiative to expand scope and depth of technical competence.
Act as technical resource in a defined area.
Independently plan work to support team and project objectives.
Work together with other members of a project team to accomplish team objectives.
Demonstrate resiliency and flexibility when confronted with programmatic changes and/or new scientific directions.
Ability to clearly communicate ideas and research results.
Willingness to perform tasks outside applicant’s area of expertise.
Embodies Kronos values; exhibits high degree of integrity and professionalism when interacting with outside investigators and vendors | -1 | Kronos Bio | Cambridge, MA | San Mateo, CA | Unknown | -1 | Company - Private | -1 | -1 | Unknown / Non-Applicable | -1 | 0 | 1 | 120 | 145 | 132.5 | Kronos Bio | MA | 0 | -1 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Analyst | $50K-$89K (Glassdoor est.) | Position Overview:
The Sr. Data Analyst plays a key role on the Data Informatics/Data Warehouse team to define requirements, understand business needs and workflows, and work with various business units to provide Data Analysis, Database Backend Applications Maintenance and Development, Reporting and BI solutions that are needed by the organization.
Essential Functions:
· Collaborate with stakeholders to understand, define, and document business questions needs (metrics, dimensions, charts, and dashboards).
· Create and collect feedback on data visualizations (reports/dashboards) to bring insight and answers to business problems/KPIs.
· Serve as primary report writer for all business units.
· Responsible for recurring monthly, weekly, daily, and ad hoc reporting needs.
· Collect and interpret data from multiple sources, both internal& external.
· Develop, create, analyze and distribute management reports as required.
Position Requirements:
· Education: Bachelor’s degree in business, computer science, statistics, mathematics or related field.
· License/Certification: N/A
· Relevant Work Experience: Minimum of 4-5 years’ experience as a reporting or data analyst, reports writer or similar role with a strong understanding of SQL and data modeling.
· 4+ years’ experience with ETL, Data Modeling, Data Warehousing and SSAS preferred
· 4+ years’ experience with contemporary data visualization technology (Power BI, Tableau, Qlik Sense, etc.) preferred
· 4+ years’ experience with Excel preferred
· Healthcare experience is preferred
· Skills:
· Extract data and create reports using tools such as SQL, SSIS, SSRS, Excel, or Access
· Ability to tell stories using data& visualizations
· Plan, design and build ETL solutions for the Data Warehouse
· Knowledge of modern trends, tools and approaches to collection and visualization | 3.7 | Community Behavioral Health
3.7 | Philadelphia, PA | Phila, PA | 201 to 500 employees | 1,994 | Company - Private | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | -1 | 0 | 0 | 50 | 89 | 69.5 | Community Behavioral Health
| PA | 0 | 26 | 0 | 0 | 0 | 0 | 1 |
Senior Engineer, Data Management Engineering | $68K-$129K (Glassdoor est.) | Western Digital®
The next big thing in data is you!
The person in this position
will perform a variety of programming tasks in support of the big data team.
Our team builds and maintains large-scale manufacturing data repositories,
which contain data gathered from various location globally. We transform the
data to make it more suitable for data-mining and research as well as build
tools that allow data scientist and engineers to explore and interact with the
data.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
This person's main focus will be developing and maintaining our team’s
ETL pipeline. This will include developing complex SQL scripts for data
analysis and extraction, developing and maintaining programs as required for
the ETL process, keeping accurate and complete project documentation, data
assurance, and working with managers and engineers to satisfy data needs.
The person in this role will need to be adaptable and be able to pick up
whatever new skills and expertise are needed to complete the project at hand.
Demonstrates proficiency of programming and other development tasks
independently.
We are looking for someone with passion for bigdata technologies,
willing to learn and has a drive to grow in the
Looking for software engineers with C#, python
experience.
The person in this position will perform a
variety of programming tasks in support of the big data team.
The person in this role will need to be
adaptable and be able to pick up whatever new skills and expertise specifically
big data tools such as spark, kafka are needed to complete the project at hand.
Demonstrates proficiency of programming and
other development tasks independently.
Mainly responsible for building ETL jobs
REQUIRED:
2+ years of experience with C# and Python
1+ years of experience with Apache Hadoop
tools
1+ years of experience with NoSQL
implementation, including stream processing
2+ years of experience building data pipelines
ABOUT WESTERN DIGITAL
The
future. It’s on you. You & Western Digital.
We’ve been storing the world’s data for more than 50 years. Once,
it was the most important thing we could do for data. Now we’re helping the
world capture, preserve, access and transform data in a way only we can.
The most game-changing companies,
consumers, professionals, and governments come to us for the technologies and
solutions they need to capture, preserve, access, and transform their data.
But we can’t do it alone. Today’s
exceptional data challenges require your exceptional skills. It’s You & Us.
Together, we’re the next big thing in data.
Western Digital® data-centric solutions are found under the
G-Technology™, SanDisk®, Upthere™, and WD® brands.
Western Digital is an equal opportunity employer.
Western Digital does not discriminate on the basis of race,
color, ancestry, religion (including religious dress and grooming standards),
sex (including pregnancy, childbirth or related medical conditions,
breastfeeding or related medical conditions), gender (including a person’s
gender identity, gender expression, and gender-related appearance and behavior,
whether or not stereotypically associated with the person’s assigned sex at
birth), age, national origin, sexual orientation, medical condition, marital
status (including domestic partnership status), physical disability, mental
disability, medical condition, genetic information, protected medical and
family care leave, Civil Air Patrol status, military and veteran status, or
other legally protected characteristics. We also prohibit harassment of any
individual on any of the characteristics listed above. Our non-discrimination
policy applies to all aspects of employment. We comply with the laws and
regulations set forth in the "Equal
Employment Opportunity is the Law" poster.
Western Digital participates in the E-Verify program in the US.
For more information click here. Este empleador participa in E-Verify.
#LI-SS1 | 3.5 | Western Digital
3.5 | Milpitas, CA | San Jose, CA | 10000+ employees | 1,970 | Company - Public | Computer Hardware & Software | Information Technology | $10+ billion (USD) | Seagate Technology, Toshiba | 0 | 0 | 68 | 129 | 98.5 | Western Digital
| CA | 0 | 50 | 1 | 0 | 1 | 1 | 0 |
Quality Control Scientist III- Analytical Development | $48K-$113K (Glassdoor est.) | The primary role of this position is to apply analytical development and testing experience in support of ABL client programs. This involves developing test methods used to release GMP products for clinical and commercial supply. In addition the incumbent will provide the necessary technical and laboratory support to the department supervisor and other scientists to develop new molecular biological assays relevant to the laboratory and organization.
Provide extensive technical support in satisfying statement of work of both government contracts and commercial projects as directed by supervisor.
Perform and assist in completing task and requirements for the Quality Control (QC)/Assay Development department. The QC Scientist will be trained and will be expected to know how to perform several molecular assays including but not limited to the following: traditional PCR, real-time PCR, RT-PCR, cell culture, virology assays and new molecular assay developments. Provide precise and reproducible data for all assays performed in the lab.
Organize and ensure efficient daily operation of the laboratory. This position will be required to follow Good Documentation Practices (GDP), Good Manufacturing Practices (GMP) and any other local, state, and federal regulations associated with the release of investigational and pharmaceutical drug products.
Communicate matters of importance such as plans, technical problems, results etc. to the supervisor and to other scientific personnel associated with the study, which may impact successful completion of projects.
Ensure all laboratory equipment is monitored for adherence to performance parameters on a scheduled basis and is operating within requirements. Immediately report any equipment failure to management.
Ensure waste is appropriately disposed in the proper areas.
Order new supplies and make sure the lab does not run out of important reagents.
Job Requirements
MS or B.S. with 4-6 years of laboratory experience.
Candidate must possess a basic knowledge of molecular biology, virology and cell biology techniques such as experience using a real-time PCR, or performing various molecular assays.
Candidate must possess excellent communication skills (both written and oral).
Excellent organizational skills are required along with the ability to work independently or in a team environment is desired.
Candidate should possess keen attention to details.
Ability to initiate and organize projects, multitask and have intermediate to advanced computer/PC skills in MS Office, Outlook, etc.
Travel Expectation
0 - 25%
ABL, Inc. participates in E-Verify, an Internet-based system of the Department of Homeland Security (DHS) and Social Security Administration, that allows us to determine an employee's eligibility to work in the United States.
ADDITIONAL INFORMATION:
Candidate must meet all the requirements of our Company Occupational Health program as directed by the Occupational Health Consultant to include pre-employment physical and drug screen.
Candidates are encouraged to submit a resume and a cover letter outlining background and experience as it relates to the position requirements and salary history/requirements. Please note that “negotiable” is neither salary nor requirements. Salary commensurate with experience.
ABL, Inc. does not accept nor respond to unsolicited resumes from vendors, including recruitment agencies and search firms. Approved recruiting agencies must obtain prior approval from ABL, Inc. Human Resources in order to submit resumes to ABL, Inc. for consideration. | 2.7 | Advanced BioScience Laboratories
2.7 | Rockville, MD | Rockville, MD | 201 to 500 employees | 1,961 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $25 to $50 million (USD) | -1 | 0 | 0 | 48 | 113 | 80.5 | Advanced BioScience Laboratories
| MD | 1 | 59 | 0 | 0 | 0 | 0 | 1 |
Clinical Scientist, Clinical Development | $27-$47 Per Hour(Glassdoor est.) | Job Summary:
This position reports to the Director, Clinical Sciences and will work in a collaborative, cross-functional project team environment. The successful candidate will bring proven leadership skills and a strong background in clinical research in cancer therapeutics. This person will be involved in the translational clinical activities across a growing, early-stage portfolio of small molecule therapeutics, including the implementation of strategic development plans and actively participating in the conduct of clinical studies
for multiple development-stage programs at FORMA Therapeutics Inc.
Responsibilities:
Implement clinical development strategies/plans for novel drug candidates in oncology and non-oncology indications as part of a cross-functional project team.
Work closely with the Head of Translational Medicine, project teams and the Translational Biology group to incorporate the therapeutic directions and patient selection strategies into clinical protocols.
Support the medical monitor for clinical protocols.
Partner with Clinical Operations on clinical trial conduct and monitoring, including GCP, patient eligibility, safety monitoring, AE and SAE tracking and reporting and protocol deviations.
Support timely and high quality cleaning, analysis, interpretation and communication of data in ongoing and completed studies.
Review regulatory documentation and other communications, including IND, IB, annual reports, CSR, abstracts, manuscripts and presentations.
Coordinate relationships with external key opinion leaders and investigators and lead/participate in investigator meetings, advisory boards and site visits.
Work and partner with internal and external (CRO, investigator) stakeholders.
Adhere to and implement quality standards and SOPs in clinical development.
Position Requirements:
The successful candidate’s position and title will be commensurate with experience.
Bachelor’s degree with at least 5 years’ industry experience in oncology drug development.
Experience with small molecule therapeutics preferred.
Experience in Phase I protocol development and clinical strategy development is required
Knowledge of the regulatory environment and experience with working with regulatory authorities is required.
Strong understanding of cancer biology and ability to integrate biological knowledge into clinical development strategy.
Additional experience in non-oncology therapeutic areas (Immunology) is a plus.
A creative problem solver with the proven ability to work independently and collaboratively in a fast-paced, results-oriented and dynamic environment.
Excellent interpersonal skills and a demonstrated ability to work well within team structure is essential.
Strong written and verbal communication skills.
Ability to travel up to 20%.
About FORMA
FORMA Therapeutics is focused on the discovery, development and commercialization of transformative medicines that will make a difference for patients in need. A fully-integrated biopharmaceutical company, FORMA’s validated, proprietary R&D engine combines deep biology insight, chemistry expertise and clinical development capabilities to create differentiated drug candidates with best-in-class or first-in-class potential. FORMA has delivered high-value clinical candidates to its partners and generated a broad proprietary portfolio of programs, ranging from pivotal to preclinical-stage, with the potential to provide profound patient benefit in hematology, oncology, and metabolism indications.
FORMA is headquartered in Watertown, MA near the epicenter of the Cambridge life sciences cluster, with additional chemistry operations in Branford, CT.www.formatherapeutics.com.
Resumes from third party vendors will not be accepted. | 3.8 | FORMA THERAPEUTICS
3.8 | Watertown, MA | Watertown, MA | 51 to 200 employees | 2,008 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10 to $25 million (USD) | -1 | 1 | 0 | 27 | 47 | 37 | FORMA THERAPEUTICS
| MA | 1 | 12 | 0 | 0 | 0 | 0 | 1 |
Software Engineer Staff Scientist: Human Language Technologies | $74K-$124K (Glassdoor est.) | Are you an experienced, passionate pioneer in technology who is versatile, displays leadership qualities and is enthusiastic about tackling new problems? Do you enjoy creating experiments, prototyping implementations or designing new learning algorithms? If so, then BBN is the place for you.
Who we are
For more than 70 years, scientists and engineers in diverse disciplines at BBN have collaborated to solve real-world problems through research, exploration, development and prototyping. We partner with the best technical talent in academia and industry to challenge the status quo, pioneer new technologies, and create transformative solutions.
Our Analytics & Machine Intelligence team has the expertise to apply deep knowledge of machine learning approaches and other artificial intelligence techniques, learned and refined in human language technologies, to myriad problems faced by our current and future customers. We are seeking creative and talented Human Language Technology researchers to join us in our research and development efforts.
We combine deep knowledge of linguistic structures with state-of-the-art statistical approaches to find critical patterns in language to help in speech transcription, voice-based keyword spotting, speaker ID, and text-based natural language processing challenges.
What you will do
Design and implementexperiments to test new hypotheses regarding
Language Modeling
Information Extraction
Customized Speech Transcription
Cross-lingual Information Retrieval
Low-Resource Speech Recognition
Machine Translation
Test new methods against a variety of challenging datasets
Participate in collaborative evaluations that test our implementations on new data
Write and present conference papers about your work at peer-reviewed venues
What you will gain
Experience with cutting-edge research and prototype development
A deeper understanding of language structure and usage in a variety of domains, including social media and formal contexts
Familiarity with state-of-the-art machine learning techniques and programming packages
Opportunities to propose new ideas and solutions to challenging scientific and technological problems
Empowerment to satisfy your scientific curiosity and entrepreneurial drive
Flexibility to work on the schedule that fits your lifestyle and needs
A dedicated office where you can design your ideal working environment and express your own personality
What you need
BS with 2+ years, or MS with 0-3 years
Degrees in Computer Science, Computer Engineering, or, Electrical Engineering
Familiarity with state-of-the-art techniques used in addressing NLP challenges.
Advanced skills in programming in Python and/or Perl.
Experience in containerization, e.g. Docker and/or Singularity of complex pipelines
Experience working on code collaboratively, including use of tools such as git and issue tracking.
Familiarity with database software such as SQL.
Design and implementation of robust APIs for modular software implementations.
Position may require some amount of overnight travel.
Additional Skills that make you an ideal candidate
Strong communicator with demonstrated ability to address customer needs in a dynamic environment
Participation in research regarding cross-lingual or non-English natural language data.
Previous participation on government research programs, such as LORELEI, MATERIAL, or AIDA.
Active US Government security clearance a plus!
Eligibility for a security clearance
Why Us
At BBN you will find an exciting, collaborative environment that offers the opportunity to contribute to revolutionary research that solves important problems. Career growth is encouraged through support for on-site training, mentoring, 100% tuition program, publications and participating in leading research conferences. If you have a growth mindset and you thrive under pressure, Come Join Our Team! We offer outstanding benefits that include flexible work schedules, a 5% 401k company match, a 5% Retirement Contribution plan, performance based incentive plans, an onsite gym (in Cambridge), paid parental leave, paid time off, and all kinds of employee discounts.
159829
Raytheon is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. | 3.7 | Raytheon
3.7 | Cambridge, MD | Waltham, MA | 10000+ employees | 1,922 | Company - Public | Aerospace & Defense | Aerospace & Defense | $10+ billion (USD) | -1 | 0 | 0 | 74 | 124 | 99 | Raytheon
| MD | 0 | 98 | 1 | 0 | 0 | 0 | 0 |
Manager, Safety Scientist, Medical Safety & Risk Management | $68K-$125K (Glassdoor est.) | Manager, Safety Scientist, Medical Safety & Risk Management
Location
Agios Pharmaceuticals HQ
Job Code
1141
# of openings
1
Apply Now
Manager, Safety Scientist, Medical Safety & Risk Management
Agios (agios.com) is a biopharmaceutical company committed to applying our scientific leadership in cellular metabolism to transform the lives of patients with cancer and rare genetic diseases. We are growing rapidly with an active research and discovery pipeline across both therapeutic areas. Agios has two approved oncology precision medicines and multiple first-in-class investigational therapies in clinical and/or preclinical development.
Agios Pharmaceuticals is searching for a dynamic Manager, Safety Scientist to join our growing Medical Safety & Risk Management team. The Manager, Safety Scientist will work closely with the Head of Safety Sciences and the Global Safety Leads and be responsible for leading and planning the development of aggregate safety reports, signal detection review, authoring and analyzing data for safety topic reports, and creation and update of risk management plans. This position will support products in development and in the post-approval setting.
Key Responsibilities
Aggregate Reports
Coordinate the process to prepare to aggregate report generation, including kick off meeting, project planning, and source data parameters
Coordinate input from all Subject Matter Experts
Work with systems to ensure source data and standard and ad hoc safety database queries and reports are generated for aggregate reporting
Gather, review, and analyze safety data to generate assigned sections of aggregate reports
Review, assemble, and format all aggregate report sections
Coordinate the review and approval of aggregate reports
Distribute approved aggregate reports to internal stakeholders
Coordinate draft responses for regulatory authority inquires on aggregate reports
Signal Detection
Perform routine signal detection activities
Perform medical analyses to support evaluation and characterization of safety topics
Work closely with Global Safety Leads
Participate in the safety governance meetings; provision of data and review of analysis
Risk Management Plans
Coordinates the development, review, and approval of RMPs and oversees the maintenance of these documents
Collaborate and/or author new RMPs
Manage the process internally for RMP generation/updates
Literature Surveillance
Review the worldwide medical/scientific literature to identify information applicable for inclusion in aggregate reports and for potential signals
Other
Manage external vendors for specific projects
Participate in label updates
Minimum Requirements
Bachelor’s degree required; Health Care Professional or relevant Life Sciences
Minimum of 5 years of experience in health care or life sciences industry
Minimum of 3 years of experience in pharmacovigilance
Experience in preparation of aggregate reports
Knowledge of applicable safety regulations (FDA, EMA, ICH, CIOMS, GCP and other regulatory guidelines. Includes knowledge of case processing, event coding, expedited reporting rules, and safety database concepts
Strong medical and scientific writing; conveys medical and scientific concepts clearly and effectively
Strong Microsoft Excel, Word, and PowerPoint skills
Advanced written and verbal communication skills
Works effectively in a team and independently
Strong planning and project management skills
Applies working knowledge of pharmacovigilance processes and requirements to complex situations; working knowledge of applicable global regulatory requirements
Applies working knowledge of medical concepts, terms, conditions, and associated pathology to identify and analyze potential safety issues
Applies working knowledge of clinical pharmacology and toxicology to interpretation of study information from a safety perspective
Ability to analyze data from a wide range of sources
Intermediate analytical thinking: diagnoses complex situations, gathers and reviews relevant information from multiple sources, and exercises sound judgment in recommending solutions
Ability to contribute to the characterization, root causes analysis, and prioritization of potential safety risks and the definition of appropriate mitigation actions
Preferred Qualifications
PharmD degree
Experience in proactive pharmacovigilance processes (signal management, RMP)
Experience using a safety database
Advanced Microsoft Excel and Word skills | 3.8 | Agios Pharmaceuticals
3.8 | Cambridge, MA | Cambridge, MA | 501 to 1000 employees | 2,008 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $50 to $100 million (USD) | -1 | 0 | 0 | 68 | 125 | 96.5 | Agios Pharmaceuticals
| MA | 1 | 12 | 0 | 0 | 0 | 0 | 1 |
Assistant Director/Director, Office of Data Science | $39K-$67K (Glassdoor est.) | Advance your career at Liberty Mutual - A Fortune 100 Company!
As a technical member of the Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve Liberty's most challenging data science problems.
The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.
If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you!
As a centralized group, our project scope is vast. Possible projects include:
Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond
Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV)
Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers' data
Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques
Engage in theoretical research in collaboration with MIT, via Liberty's investment in the MIT Quest for Intelligence, to shape the future of AI
The actual internal level/grade for this role will depend on the candidate's overall experience and skill level.
Qualifications:
Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact.
Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) with 2+ years professional experience, a Master's degree (scientific field of study) and 4+ years of relevant experience or may be acquired through a Bachelor's degree(scientific field of study) and 5+ years of relevant experience.
Benefits:
We value your hard work, integrity and commitment to positive change. In return for your service, it's our privilege to offer you benefits and rewards that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Overview:
At Liberty Mutual, we give motivated, accomplished professionals the opportunity to help us redefine what insurance means; to work for a global leader with a deep sense of humanity and a focus on improving and protecting everyday lives. We create an inspired, collaborative environment, where people can take ownership of their work; push breakthrough ideas; and feel confident that their contributions will be valued and their growth championed.
We're dedicated to doing the right thing for our employees, because we know that their fulfillment and success leads us to great places. Life. Happiness. Innovation. Impact. Advancement. Whatever their pursuit, talented people find their path at Liberty Mutual. | 3.3 | Liberty Mutual Insurance
3.3 | Boston, MA | Boston, MA | 10000+ employees | 1,912 | Company - Private | Insurance Carriers | Insurance | $10+ billion (USD) | Travelers, Allstate, State Farm | 0 | 0 | 39 | 67 | 53 | Liberty Mutual Insurance
| MA | 1 | 108 | 0 | 0 | 0 | 0 | 0 |
Sr. Data Engineer | Big Data SaaS Pipeline | $71K-$135K (Glassdoor est.) | Sr. Data Engineer
We are growing!!
Bridg is seeking a Senior Data Engineer who will be architecting highly scalable data integration and transformation platform processing high volume of data under defined SLA. You will be creating and building the platform that includes ingestion and transformation of data, data governance, machine learning, analytics and consumer insights.
We’re a rapidly-growing start-up in the heart of Sawtelle Japantown, just blocks away from the 405 and the 10. Our loft-style office houses a passionate, hard-working team of ramen-slurpers, beachcombers, and LA-daydreamers. At our core, we’re a tech company, yes, but our people make the magic happen.
At Bridg, you will be solving complex problems with a business that celebrates innovation and values your contributions. We want you to wake up each day excited to use cutting edge tools/technologies and software development practices. Our platform is a combination of a large scale near-real time data pipeline (10s of billions of data points of sale transaction data from major retailers) and over 100 microservices.
Our current tech stack includes Flink, Kafka, Cassandra, ElasticSearch, AWS Athena, Glue, Redshift, EMR, DynamoDB, and Java Spring Boot based microservices.
A collaborative and innovative culture, Bridg offers highly advanced technology to identify and track purchasers in a physical retail store. Bridg's technology relies on data science and probabilistic modeling to identify and track the purchasers. The Bridg platform gives retail chains the same level of customer insight (and revenue growth) as data-savvy online retailers like Amazon, leveraging hundreds of millions of daily data points.
Qualifications
3+ years working in Big Data and related technologies
5+ years Java and Spring Boot experience
Experience building high-performance, and scalable distributed systems
AWS cloud experience (EC2, S3, Lambda, EMR, RDS, Redshift)
Experience in a variety of relevant technologies including Cassandra, AWS DynamoDB, Kafka, AWS Kinesis, Elasticsearch, Machine Learning, Spark, Hadoop, Hive, Presto
Experience in ETL and ELT workflow management
Familiarity with AWS Data and Analytics technologies such as Glue, Athena, Redshift, Spectrum, Data Pipeline
MS preferred, or BA/BS degree in computer science, related field, or equivalent practical experience
Experience with Agile methodologies preferred
Experience at start-ups a plus
Experience in a fast paced development environment ideal
Must pass background check
Must be able to work in the office full time.
Must be able to reliably commute to the office daily.
What we offer
A fantastic opportunity to be part of a growing start-up. A chance to work with a passionate, driven and fun team.
An incredible work environment - fun, casual and fast-paced
Monthly team activities and outings
Loft-style office with plenty of break-out space
Fully stocked company snack area complete with every drink and snack your heart desires
Great benefits - Health, Dental, Vision, and Vacation
Security, Availability and Confidentiality Requirements
You are responsible for protecting the credentials provided to you to access S3’s (and customer, where applicable) networks, systems and data
You are responsible for maintaining the confidentiality of all S3’s customer data to which you are granted access.
Any suspected compromises of S3’s proprietary data or customer data must be reported to Management immediately.
You will adhere to the S3 Information Security Policy and Procedures and supporting standard operating procedures to protect Company systems and data.
Respond to and resolve customer help desk requests [varies based on role]
You will alert management immediately with any expected system or data compromises and/or system failure impacting the security, confidentiality, availability and integrity of S3 and customer data
About Bridg:
Bridg is a marketing software company that provides a CRM solution, email and SMS marketing, insights and analytics, mobile app and loyalty program development for restaurants and retailers. Powered by transaction data, Bridg builds unique 360º customer profiles to understand individualized behavior patterns, providing clients with deep data science used to create wide-reaching, effective personalized marketing campaigns that drive traffic and sales in a measurable way.
Our headquarters is located in West LA / Santa Monica, and we offer competitive salaries, great benefits, and a high-energy environment with lots of room for personal and professional growth. | 2.7 | Bridg
2.7 | Los Angeles, CA | Los Angeles, CA | 1 to 50 employees | 2,011 | Company - Private | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 71 | 135 | 103 | Bridg
| CA | 1 | 9 | 0 | 0 | 1 | 1 | 0 |
Senior Risk Data Scientist | $107K-$172K (Glassdoor est.) | About Bill.com
Bill.com is a leading provider of cloud-based software that simplifies, digitizes, and automates complex, back-office financial operations for small and midsize businesses. Customers use the Bill.com platform to manage end-to-end financial workflows and to process payments, which totaled over $70 billion for fiscal 2019. The Bill.com AI-enabled, financial software platform creates connections between businesses and their suppliers and clients. It helps manage cash inflows and outflows. The company partners with several of the largest U.S. financial institutions, more than 70 of the top 100 U.S. accounting firms, and popular accounting software providers. Bill.com has offices in Palo Alto, California and Houston, Texas. For more information, visit www.bill.com or follow @billcom.
Mission: We are looking for a talented, enthusiastic and dedicated data science leader to join Bill.com’s Risk Management team. The incumbent will be responsible for managing junior data scientists as well as leading key projects associated with predictive fraud detection, transaction risk modeling and loss mitigation at Bill.com. This position requires a person who has experience with developing machine learning models and performing analytics preferably in risk domain.
Professional Experience/Background to be successful in this role:
Minimum 5 years (with M.S. degree) or 3 years (with PhD) of industry experience in data science
An advanced degree (M.S., PhD.), preferably in Statistics, Physical Sciences, Computer Science, Economics, or a related technical field
Strong track record of performing data analysis and statistical modeling using SQL, SAS or similar tools
Mastery of a wide range of Machine Learning techniques, tools, and methodologies with a demonstrated capability to apply them to a broad range of business problems and data sources
Machine Learning techniques include clustering, classification, regression, decision trees, neural nets, anomaly detection etc.
Ability to clearly communicate complex results to technical experts, business partners, and executives
Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
Desirable to have experience solving problems related to risk using data science and analytics
Experience with implementation of Machine Learning models
Prior team management and payment risk experience is a plus
Competencies (Attributes needed to be successful in this role):
Functional/Technical Expertise
Thought leadership/People leadership
Learning Abilities/Tech Savvy
Communication
Team Player
Bill.com Culture:
● Humble – No ego
● Fun – Celebrate the moments
● Authentic – We are who we are
● Passionate – Love what you do
● Dedicated – To each other and the customer
Our Applicant Privacy Notice describes how Bill.com treats the personal information it receives from applicants. | 3.8 | Bill.com
3.8 | Palo Alto, CA | Palo Alto, CA | 501 to 1000 employees | 2,006 | Company - Public | Financial Transaction Processing | Finance | $50 to $100 million (USD) | -1 | 0 | 0 | 107 | 172 | 139.5 | Bill.com
| CA | 1 | 14 | 0 | 0 | 0 | 0 | 0 |
Data Scientist in Artificial Intelligence Early Career | $49K-$85K (Glassdoor est.) | *Organization and Job ID**
Job ID:
Directorate: National Security Directorate
Division: Computing and Analytics
Group: Data Sciences and Analytics
*Job Description**
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation!
Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and deep learning research. Research of interest includes the development, implementation, and resulting analyses related to quantitative social science, human language technologies, computer vision, real-time streaming algorithms, national security, disaster response and recovery, health security, image/video understanding and other related fields.
The data scientist in applied machine learning should have the following attributes:
+ Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn)
+ Experience applying machine learning to domain specific applications, such as geospatial intelligence, natural language processing, behavioral modeling, social computing, time series prediction, computer vision, etc.
+ Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.
This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.
*Minimum Qualifications**
+ Bachelor's with 0-1 years' experience or a Master's degree with 0 years' experience is required.
*Equal Employment Opportunity**
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
*_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**
*Other Information**
This position requires the ability to obtain and maintain a federal security clearance.
Requirements:
U.S. Citizenship
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
_Directorate:_ _National Security_
_Job Category:_ _Computation and Information Sciences_
_Group:_ _Data Sciences & Analytics_
_Opening Date:_ _2020-03-24_
_Closing Date:_ _2020-04-07_ | 3.8 | Pacific Northwest National Laboratory
3.8 | Richland, WA | Richland, WA | 1001 to 5000 employees | 1,965 | Government | Energy | Oil, Gas, Energy & Utilities | $500 million to $1 billion (USD) | Oak Ridge National Laboratory, National Renewable Energy Lab, Los Alamos National Laboratory | 0 | 0 | 49 | 85 | 67 | Pacific Northwest National Laboratory
| WA | 1 | 55 | 0 | 0 | 0 | 0 | 0 |
Consultant - Analytics Consulting | $54K-$71K (Glassdoor est.) | Q4 - AINA - Sr RPA Developer (5A) - AA - Hub
03/27/2020
Job Description
Infosys is seeking a Sr RPA Developer with Automation Anywhere or Blue Prism experience to work from our new Hartford, CT Innovations Hub. The candidate will help manage RPA and Cognitive Automation Projects. They will participate in requirements gathering sessions, and will work with team members to identify requirements such as AS IS Process and automation opportunities. The candidate will apply knowledge of technologies, applications, methodologies, processes and tools to manage end to end automation projects.
Required Sr RPA Developer Qualifications:
This position is for Hartford, CT. This position may require extensive travel to project locations.
Bachelor’s Degree or foreign equivalent, will consider work experience in lieu of a degree
5+ years of Information Technology experience with at least 3 years of automation project management experience
3+ years of experience with Cognitive and Robotic Process Automation (RPA) technologies
Strong experience of Solution Definition and Client Management
Knowledge and experience with full SDLC lifecycle
Experience with Scrum / Agile development methodologies
U.S. Citizenship or Permanent Residency required, we are not able to sponsor at this time
Preferred Sr RPA Developer Qualifications:
3+ years of experience in managing complex Cognitive and Robotic Process Automation with strong experience with RPA development
Experience and certification with UiPath is preferred
Hands on experience in Java or .Net development
Solid understanding of business process and document AS IS Process
Able to identify automation opportunity from AS IS Process
Define, develop and deploy automation solution for automation opportunities
Experience with test-driven development and automated testing frameworks
Capable of delivering on multiple competing priorities
Excellent verbal and written communication skills, able to resolve business issues
Experience and desire to work in a Global delivery environment
The job entails an extensive amount of travel. The job also entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face.
About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation
With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
To learn more about Infosys and see our ideas in action please visit us at www.Infosys.com
EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity/National Origin
Auto req ID
53433BR
State / Region / Province
Connecticut, Richardson, TX and various and unanticipated locations throughout the U.S.
Country
USA
Interest Group
Infosys Limited
Role
Consultant - Analytics Consulting
Company
ITL USA
Work Location
Hartford, CT
External Job Title
Sr RPA Developer | 3 | Infosys
3.0 | Hartford, CT | Bengaluru, India | 10000+ employees | 1,981 | Company - Public | IT Services | Information Technology | $10+ billion (USD) | Tata Consultancy Services, Accenture, Cognizant Technology Solutions | 0 | 0 | 54 | 71 | 62.5 | Infosys
| CT | 0 | 39 | 0 | 0 | 0 | 0 | 1 |
Scientist - CVRM Metabolism - in vivo pharmacology | $61K-$123K (Glassdoor est.) | AstraZeneca has an opportunity for a Scientist position within the Bioscience Metabolism group of the Cardiovascular, Renal and Metabolism department (CVRM) in Gaithersburg, MD.
The successful candidate should have hands-on in vivo pharmacology experience, particularly in rodent models of diabetes, obesity and NASH.
Expertise in working with anti-sense oligonucleotides would be a plus, and ex vivo lab techniques including tissue gene expression, ELISAs, western blot analysis etc. is required.
The successful candidate will be greatly involved with experimental work, including the
design, execution and interpretation of preclinical experimental data.
Additionally, the candidate will present results to CVRM group and project team meetings.
The ability to work well in a team environment, and to interact with departments outside of CVRM is essential for this position.
Requirements:
Education: Degree in a biological science field MS and 3 plus years of relevant experience or BS and 5 plus years of relevant experience.
Highly proficient in working with rodent models of NASH, diabetes and obesity hands on expertise in animal handling, dosing (SC, IV, PO and IM), and necropsy tissue collections (essential)
Administration of CVRM therapeutic modalities, including ASOs, to CVRM rodent models (essential)
Independently execute ex vivo analysis of blood/tissue samples including qPCR gene expression, Western blots, and ELISAs (essential)
Take part in all experimental work, including the design, analysis and interpretation of data from these experiments (essential)
Prepare and present scientific data to CVRM in vivo group meetings (essential) and project team meetings (desirable)
Work in a cross-functional project team with responsibility of making decisions and recommendations for program in vivo pharmacology plans (essential)
Develop an understanding of the scientific basis of the CVRM project pipeline, to be able to successfully execute experiments needed to meet the requirements of the projects involved with (essential)
Contribute to CVRM animal model work and/or development including areas of NASH, obesity, dyslipidemia, CV and diabetic kidney disease (essential)
Execution of metabolism in vivo assays including GTTs, ITTs, and measurement food intake (desirable)
Experience in surgical procedures desirable
Experience in pharmaceutical industry desirable | 3.9 | AstraZeneca
3.9 | Gaithersburg, MD | Cambridge, United Kingdom | 10000+ employees | 1,913 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Roche, GlaxoSmithKline, Novartis | 0 | 0 | 61 | 123 | 92 | AstraZeneca
| MD | 0 | 107 | 0 | 0 | 0 | 0 | 0 |
Data Analyst | $47K-$85K (Glassdoor est.) | The Data Analyst is responsible for maintaining the integrity of the MMIS/ERP system(s) and other applications with respect to vendor data. The Data Analyst works with Supply Chain and Accounts Payable departments to ensure accurate and complete new vendor records in the system. The analyst will also manage vendor changes and maintain vendor names, physical and remit to addresses, Tax ID, among other key vendor information. The Data Analyst provides reports and is a resource for other staff members.
1. Functions as Supply Chain’s primary point of contact for managing vendor information, which includes setting up new vendors in the systems and managing all vendor changes, resulting from company mergers and other restructurings.
2. Collect, compile, sort and verify the data’s accuracy or completeness before it is entered.
3. Performs data integrity tasks by locating and correcting data entry errors, or reporting them to supervisors.
4. Maintains logs of activities, completed work, and/or overall status updates. File completed documents in appropriate locations or distribute them.
5. May create or modify data bases according to the needs of the department.
6. Provides direction or assistance to users of information regarding data requirements and status of paperwork. May train other data entry employees.
7. Makes recommendations and assists in data capture, data extraction and analysis and provides reports relates to vendors.
8. Develops, maintains, or implements procedures for data entry, data cleaning, documentation and other administrative tasks.
9. May be involved in vendor credentialing processes Identifies and recommends solutions to vendor data management issues and maintains a continuous improvement outlook
Skills:Person must have an organized mind to think analytically. Pay close attention to details. Strong computer skills - heavy excel usage - running pivot tables, vlookup, etc. Strong communication skills
Education: Associates degree/Bachelor’s Degree preferred
Skills:Required
HEALTHCARE
BIG DATA ANALYTICS
CRITICAL THINKING
DETAIL ORIENTATED
CODING
Additional
DATA VALIDATION
RESEARCH ANALYSIS
DATA CLEANSING
SUPPLY MANAGEMENT SYSTEMS
DATABASE MANAGEMENT SYSTEM
EXCEL
BILLING
ACCOUNTING/PURCHASING
ACCESS
HIGH RELIABILITY
SUPPLY CHAIN MANAGEMENT | 3.6 | AXION Healthcare Solutions
3.6 | New York, NY | New York, NY | 1 to 50 employees | 1,980 | Company - Private | Health Care Services & Hospitals | Health Care | $10 to $25 million (USD) | The Execu|Search Group, Prime Staffing | 0 | 0 | 47 | 85 | 66 | AXION Healthcare Solutions
| NY | 1 | 40 | 0 | 0 | 0 | 0 | 1 |
Data Engineer | $65K-$124K (Glassdoor est.) | Title: Data Engineer
Location: Orange County, CA
Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors.
We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest leaders. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience.
This position will play a key role in building and operating a cloud-based data platform and its pipelines using big data technologies.
As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage. You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.
● Interfacing with business customers, gathering requirements and developing new datasets in data platform
● Building and migrating the complex ETL pipelines from on premise system to cloud and Hadoop/Spark to make the system grow elastically
● Identifying the data quality issues to address them immediately to provide great user experience
● Extracting and combining data from various heterogeneous data sources
● Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets
● Modelling data and metadata to support machine learning and AI
Basic Qualifications:
● Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field
● 3+ years relevant experience in cloud based data engineering.
● Demonstrated ability in data modeling, ETL development, and data warehousing.
● Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc.
● Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc.)
● Experience in using Python, Java and/or other data engineering languages
● Knowledge and experience of SQL Sever and SSIS.
● Excellent communication, analytical and collaborative problem-solving skills
Preferred Qualifications:
● Healthcare domain and data experience
● Healthcare EDI experience is a plus
● Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
● Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
● Experience building data products incrementally and integrating and managing datasets from multiple sources
● Experience leading large-scale data warehousing and analytics projects, including using Azure or AWS technologies – SQL Server, Redshift, S3, EC2, Data-pipeline, Data Lake, Data Factory and other big data technologies
● Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
● Linux/UNIX including to process large data sets.
● Experience with Azure, AWS or GCP is a plus
● Microsoft Azure Certification is a plus
● Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic startup environment
· Problem solving skills and Ability to meet deadlines are a must
· Microsoft Azure Certification is a plus
Essential Physical Functions:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform
the essential functions.
· While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms.
· The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus.
Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran.
If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact careers@ahcusa.com.
(function() { var ac = document.createElement('script'); ac.type = 'text/javascript'; ac.src = ('https:' == document.location.protocol ? 'https://' : 'http://') + 'click.appcast.io/pixels/grpeople1-1573.js?ent=8&t=' + new Date().getTime(); var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ac, s); })(); | 3.5 | Alignment Healthcare
3.5 | Orange, CA | Orange, CA | 501 to 1000 employees | 2,013 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | -1 | 0 | 0 | 65 | 124 | 94.5 | Alignment Healthcare
| CA | 1 | 7 | 1 | 0 | 1 | 1 | 1 |
Data Scientist | $87K-$141K (Glassdoor est.) | We’re looking for a data scientist to drive our data science and analytics group forward! You’ll be joining a group of curious, smart, technically minded yet business savvy data scientists and analysts looking to make a difference to the company by designing and building out our data decisioning capabilities from the ground up!
As a data scientist, you’ll work collaboratively with our business, operations, analytics, and IT teams. You’ll be responsible for analyzing our data and executing projects that will inform our business strategy and embed into our data products.
Our ideal candidate is excited to join our fast-paced culture and is excited to contribute to our growing data science practice!
What you’ll do:
· Dig into our data to find leverage in our business. This includes data wrangling, data cleaning, and exploratory analysis
· Execute new projects and develop predictive models that inform our data products and / or business strategy.
· Work cross functionally with different stakeholders across the business and join meetings to learn about other parts of the company
· Act as a subject matter expert with all things data
What we do:
We achieve competitive advantage through data-driven marketing and full management of the customer experience.We’re constantly refining our technology and our strategies, that’s why we’re the industry leader in delivering the best results to the top insurance brands in America.
That’s not just lip service either, we’re consistently awarded partner of the year from brands like AFLAC, Humana, and more. Our work has also been featured on The Dr. Oz Show, Forbes, and Vox -- to name a few.
We want people who fit within our Be Real culture. We want a diversity of programmers and writers and designers and data scientists and strategists and more. We’re made up of introverts and extroverts, suits and rebels, corporate types and anti-corporate types. We’re an environment where every person feels their full potential is only limited by their ability to conceive of it and make it happen.Our company grew from entrepreneurial roots but has big company resources to get amazing things done.
What we’re looking for:
· 2+ years of experience in a data science role, building predictive algorithms and data products ideally related to marketing, business operations, or customer retention
· Excellent understanding of machine learning techniques and algorithms such as decision forests, logistic regression, k-means clustering, etc.
· Ability to communicate findings clearly and deep understanding of your current business
· Excellent technical ability, including proficiency with Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)
· Experience with big data platform (i.e. Hadoop)
· Intensely curious – always asking questions and not being OK with the status quo. Obsessed with making things better and more efficient.
· A lifelong learner that is excited to learn new data science technologies and apply those to technologies to our business
· Ability to be objective and follow the facts, cut through noise and create a story with data.
· Strong organizational skills including time management
· Thrives in a fast-paced environment that is constantly changing
· BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, etc.)
What’s in it for you:
· Medical, dental, vision, paid time off/holidays, 401(k), and bonus opportunity
· Frequent office events and outings
· Employee development programs, conference and training reimbursement
· Work remote flexibility
· Joining a growing and exciting team making a big impact on the business!
TRANZACT, a Willis Towers Watson Company, is an Equal Opportunity/Affirmative Action employer and voluntarily complies with the laws and regulations related to employment without regard to race, color, religion, sex, national origin, marital status, sexual orientation, age, status as a protected veteran or individual with a disability, ancestry, gender, gender identity or expression, or any other protected group status or non-job related characteristic protected by applicable human rights or equal opportunity legislation. We are a company that values diversity. As required by law, we must record certain information to be used as part of our Affirmative Action Program. In extending this invitation you are advised that (a) response data is used for periodic government reporting and will remain confidential within Human Resources department; (b) responses are used solely to help us comply with government record keeping, reporting and other legal requirements. | 3.6 | TRANZACT
3.6 | Fort Lee, NJ | Fort Lee, NJ | 1001 to 5000 employees | 1,989 | Company - Private | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 87 | 141 | 114 | TRANZACT
| NJ | 1 | 31 | 1 | 0 | 0 | 1 | 1 |
Data Scientist | $56K-$95K (Glassdoor est.) | ExecOnline is a fast-growing, venture-backed ed-tech firm reinventing how the world's greatest companies develop their next generation of leaders. We are looking for an exceptional addition to the team who will be responsible for ensuring that a data-driven approach is at the heart of every piece of our organization and platform.
We are looking for an individual to lead data science efforts which will support our strategic initiatives at scale. This is a hands-on position that will work directly with our Data, Product, Technology and business teams to bring ExecOnline's data capabilities to the next level. Ideally, this role would be based in our New York City or Washington, DC office, but we will consider remote work for the right candidate.
In this role you will:
Be a key contributor to our suite of data-driven products for customers and solutions for internal stakeholders
Be hands-on with Data Analysis and Visualization Development
Utilize statistical models to derive deeper insights from our extensive customer and participant data
Apply Natural Language Processing capabilities on unstructured data for Topic Modeling, utilized in textual data exploration, feedback insights, voice-of-customer insights, sales enablement, etc.
Leverage other Machine Learning techniques for projects including Predictive Modeling, Retention Analysis, etc.
Spearhead opportunities for Experimentation and A/B testing in the company, such as outbound email, web optimization, etc.
Work with both structured and unstructured data
Support the development of reports in Tableau
We think it's appealing because you will be able to:
Join a company focused on achieving scale with data
Work directly with Product and business teams to deliver direct impact to customers and client-facing teams
Learn on the job and be(come) an expert on executive education - then apply that expertise to make the entire system better
Green-field opportunity be a thought leader in the company on data science best practices and opportunities for applications
Are we a match?
3+ years of experience in a similar role will position you for success and have a Bachelor's degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). An advanced degree is preferred.
Experience applying modelling and advanced techniques such as: significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining
Hands-on knowledge of Python/R, SQL is a must
You are excited by the challenge of developing complex data-driven solutions while delivering simplicity for the end user.
You value hard work, collaboration and the ability to strike the right balance between speed, quality and execution.
You know how to get things done and prefer pragmatic solutions to theoretical ones.
You are a "full stack" data person - you know how to work with large, messy data sets, no matter where or how they are stored OR you are up to figuring it out.
You know your math but understand that the flashiest solutions usually aren't always the best.
You have experience with some of the tools and languages we use and are excited to learn the others:
Python, R, SQL
Tableau
Jupyter Notebooks
dBeaver or equivalent
Github
Highly Desired Additions:
AWS Redshift, Snowflake Data Warehouse
Hadoop
Javascript
What you'll get:
The opportunity to join a startup on a team with high career-growth potential across the organization
A stimulating work environment working with leading-edge, highly-motivated team members
Competitive base salary
20 days paid vacation
Stock options
Highly subsidized health insurance
Opportunity to take our courses with elite business schools
2 months paid parental leave
401K with Vanguard
Commuter benefits and other perks
About ExecOnline
ExecOnline partners with top business schools, including Berkeley-Haas, Columbia, IMD, MIT-Sloan, Wharton, Chicago Booth, Stanford, and Yale to rapidly deliver online leadership development programs that generate lasting organizational impact. ExecOnline's university-certified programs in strategy, innovation, operations, and more feature dynamic content tailored to the unique corporate objectives of their clients. ExecOnline has delivered transformational leadership development experiences to more than 200 organizations and 10,000 business leaders. | 4.2 | ExecOnline
4.2 | New York, NY | New York, NY | 51 to 200 employees | 2,012 | Company - Private | Education Training Services | Education | Unknown / Non-Applicable | Harvard Business School, Coursera, edX | 0 | 0 | 56 | 95 | 75.5 | ExecOnline
| NY | 1 | 8 | 1 | 0 | 0 | 1 | 0 |
Data Scientist | $71K-$121K (Glassdoor est.) | JOB SUMMARY
Responsible for scoping, developing, modeling, implementing, and delivering robust data analytics by using Teradata Aster and/or other analytic tools.
MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience
Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution
Clearly communicate the benefits of the analytic solutions to both a business as well as a technical audience
Leverage knowledge in analytic and statistical algorithms to help customers explore methods to improve their business
Lead large-scale analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report
Design, build, and extract large and complex data sets while thinking strategically about uses of data and how data use interacts with data design
Lead large-scale data studies and data discovery for new data sources or new uses for existing data sources
Lead design and implementation of statistical data quality procedures for existing and new data sources
Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders
Establish links across existing data sources and find new, interesting data correlations
Work closely with the sales team to come up with analytical solutions for prospects
Work closely with the operations team to define the implementation of these solutions
Achieve business value of analytics through deployment of the nCluster database
Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed
Willing to learn: Develop expertise in areas outside of core comfort zone
REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge
Ability to read, write, speak and understand English
Excellent team player
Must be self-motivated, results-driven, and able to work with minimum supervision
Intellectually curious
Outstanding interpersonal, communication and customer relationship skills - able to work effectively with customers from developers and Ops personnel through senior management
Extensive experience with analytical and statistical software
Extensive experience with design and implementation of data warehousing, relational databases, and associated infrastructures
Passionate about data maintenance, data quality control and all other important data analysis techniques
Excellent analytical and problem solving skills with attention to detail and data accuracy
Strong interpersonal communication, verbal and written, relationship management, and customer service skills with a focus on working effectively in a team environment
Ability to use MS Office Suite (Word, Excel, PP, Access, Visio)
Ability to work cross-functionally to solve complex problems and improve quality and service
Ability to perform involved and independent research and analysis
Ability to maintain confidentiality and appropriately handle sensitive information
Related Work Experience Number of Years
Data manipulation and statistical modeling as a Scientist, Consultant,
Architect, DBA, or Engineer 5+
Programming experience 5+
Education
MS or PhD in Computer Science, Physics, Math, Statistics, Economics, Quantitative Analysis or equivalent experience
PREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge
Extensive experience with data programming languages such as SQL
Extensive experience with large data sets or Big Data
Experience with distributed computing tools such as Hadoop or Map/Reduce
WORKING CONDITIONS
Office Environment
Travel as required | 3.5 | Charter Spectrum
3.5 | Maryland Heights, MO | North Salt Lake, UT | 1 to 50 employees | -1 | School / School District | K-12 Education | Education | $5 to $10 million (USD) | -1 | 0 | 0 | 71 | 121 | 96 | Charter Spectrum
| MO | 0 | -1 | 0 | 0 | 0 | 0 | 1 |
Machine Learning Engineer | $62K-$112K (Glassdoor est.) | Who Are We?
QinetiQ Inc. is an innovative C5ISR Systems and Technology leader. Our company is built on a foundation of advanced technology, systems engineering, rapid prototyping, and improved operational sensing. We work with the latest technological developments in government, industry, and academia, leveraging that knowledge to rapidly advance the state of the art, combining cutting edge sensor technology with innovative research in fields such as sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).
We are a world-class team of professionals that build Ground Systems, Solider Systems, Airborne Sensing and Processing Technologies and Integrated C2 solutions. Our customers are always our number one priority and our mission is to empower and protect American Warfighters and Security Forces!
Your Contribution to Our Mission:
Work with the Government synthetic data lead in the generation of synthetic scenarios required for the training of aided target recognition and related algorithms.
Responsible for assisting with the design and development of training simulation environments with a focus on machine learning algorithm development for simulation training tasks.
To Land This Job, You Need:
B.S. in Physics, Electrical Engineering, Computer Engineering, Computer Science, Software Engineering or applicable engineering or science field - M.S. or higher degree preferred.
Experience with Python, Matlab, DIRSIG, and/or other 3D modeling and simulation software.
Knowledge of IR Signatures, atmospheric effects, and imaging sensor effects on simulated imagery.
Experience with distributed computing/high performance recruiting tools and software.
Clearance Level Must Currently Possess:
DOD Secret
Why QinetiQ Inc.?
Your work will contribute to the protection of American Warfighters and Security Forces.
Opportunity to work with cutting edge technology.
Extensive opportunities for continuous learning, professional growth and advancement.
We only hire the best! No matter if you are entry or senior level, you will have the opportunity learn from some of the best in the industry.
We have fun! We regularly have company events, from luncheons and costume contests to golf tournaments.
We care about YOU and YOUR FAMILY. We offer competitive benefits and health insurance options.
No One Has Time for Long Job Applications!
We completely understand. That is why we have made the application process easy. We promise. This will be simple.
Accessibility/Accommodation:
If because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.qinetiq.com or call (540) 658-2720 Opt 4 and let us know the nature of your request and your contact information.
QinetiQ Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. | 4 | Mteq
4.0 | Fort Belvoir, VA | Lorton, VA | 501 to 1000 employees | 1,954 | Company - Public | Aerospace & Defense | Aerospace & Defense | $100 to $500 million (USD) | Harris, Fibertek | 0 | 0 | 62 | 112 | 87 | Mteq
| VA | 0 | 66 | 1 | 0 | 0 | 0 | 0 |
Data Scientist | $64K-$108K (Glassdoor est.) | Job Description:
Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability to obtain and maintain a Government public trust level security clearance. Candidates must have lived in the United States for at least three out of the past five years prior to your application date. You will also meet the residency qualifications if you lived abroad while on government or military duty or if you were a dependent of a federal employee of military member.
Brillient has an immediate need for a Data Scientist to our government client’s data science workstream including data aggregation and analytic projects to support both regulatory review and regulatory science. The employee should have significant expertise in data science.
JOB DESCRIPTION:
Specific tasks shall include, but not be limited to, the following:
* Reviews and evaluate clinical study protocols and reports submitted in NDAs (New Drug Applications), supplemental NDAs, new INDs (Investigational New Drug), new protocols and protocol amendments, and Emergency INDs.
* The Data Scientist is responsible for reaching regulatory decisions and recommending approval of safe and effective human drugs.
* Evaluates development plans and study protocols to determine if they are safe and if the design is likely to generate evidence of effectiveness. During these evaluations, the incumbent provides advice to pharmaceutical sponsors and investigators on the design of clinical studies.
* For NDAs, the Data Scientist reviews and evaluates reports of clinical trials to determine if the data are adequate and well-controlled, and sufficient to support the efficacy and safety of the drug under investigation. Ultimately, the Data Scientist recommends approval or disapproval of the application, in conjunction with, and countersigned by, the Medical Team Leader.
* The Data Scientist reviews submissions in support of revisions to labeling of approved NDAs. This often includes new data from clinical trials. The Data Scientist with input from other scientific discipline reviewers, reviews these data to determine if the data are sufficient to justify changes in the labeling.
* The Data Scientist compiles data to prepare special reports related to the work of the Division and develops background data pertinent for government programs; attends meetings, conferences, symposia and workshops of scientific organizations to stay current in his/her field of expertise and to exchange ideas with other scientists.
* The Data Scientist undertakes other tasks as assigned, including, but not limited to, preparation of responses to requests for information from the Agency, congressional inquiries, or consumer groups; preparation and presentation to Advisory Committees or other scientific groups.
Required Experience:
EXPERIENCE REQUIREMENT:
* Master’s or Doctoral degree in Data Science, Statistics, Biostatistics, Mathematics, Computer Science, Physics, or a closely related quantitative discipline
* At least 3 years of work experience in data analytics/informatics.
* The Data Scientist shall have significant expertise in data science including deep knowledge in computer programming, databases, data visualization, and version control.
* Strong problem-solving skills and understanding of clinical relevance.
* Experience using computer languages (for example: Python, R, MATLAB, SAS, etc.) to manipulate data and draw insights from large datasets.
* Excellent written and verbal communication skills.
* Knowledge and experience with a variety of machine learning algorithms and statistical modeling (clustering, decision tree learning, ANN, KN method etc.).
* Self-motivated to learn and master new technologies and techniques.
* Able to work in a fast-paced team environment.
Reasonable Accommodation Requests:
If you are an applicant with a disability that requires a reasonable accommodation to complete any part of the application process, or are limited in the ability—or unable to use—the online application system and need an alternative method for applying, you may contact 703-994-4232 and press #1 for Human Resources.
In order to address your request the following information is needed:
* Name
* The best method for contacting you back
* The position title
* Requisition/Job Number
Upon receipt of this information we will respond to you promptly to obtain more information about your request. Information related to existing profiles or applications will not be provided via this phone number.
EOE Minorities/Females/Protected Veterans/Disabled
Company Overview:
Established in 2003, Brillient Corporation (Brillient) is a Technology and Business Solutions firm that specializes in providing mission-critical, consulting and technical services, and program/project staffing. Over 70% of Brillient’s business today is focused on financial services support to federal agencies. We base our fundamental service philosophy on understanding what matters to our clients, how it contributes to their mission success, and how we can deliver the maximum Return on Investment (ROI). On-time delivery, cost/schedule compliance, flexibility and responsiveness, quality of workmanship and client satisfaction are our imperatives - not goals.
Headquartered in Reston, VA, Brillient has over 400 employees deployed at client sites in eight (9) states across all four (4) Continental United States (CONUS) time zones (Virginia mid-Atlantic area, Missouri, California, Maryland, Texas, Pennsylvania, Alabama, Arkansas, and Washington, DC). Our capabilities include Financial and Administrative Support, Program/Project and Performance Management, Big Data Management (e.g., business intelligence and analytical support), Business Process Reengineering (BPR), Cloud Computing, Mobile Apps, Web and Applications Development, and Mission Support Services.
We have partnered with more than 16 Federal agencies over the past decade. Our clients list includes DHS (Transportation Security Administration (TSA), U.S. Citizenship and Immigration Services (USCIS) and United States Coast Guard (USCG)), SBA, Department of the Treasury (TREAS), Department of Justice (DOJ), Department of Interior (DOI), Department of Commerce (DOC), Department of Education (DoED), and Department of Energy (DOE). Teaming with Brillient means having a partner with an outstanding track record of quality deliverables, motivated high caliber personnel, and responsive customer service.
Keyword: Data Scientist
From: Brillient
Apply now | 3.7 | Brillient
3.7 | Silver Spring, MD | Reston, VA | 201 to 500 employees | 2,006 | Company - Private | IT Services | Information Technology | $25 to $50 million (USD) | -1 | 0 | 0 | 64 | 108 | 86 | Brillient
| MD | 0 | 14 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist | $89K-$144K (Glassdoor est.) | Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere.
Skills and Experience:
We’re not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.
Requirements
Masters or PhD in in Computer Science, Mathematics, Statistics, Engineering, Physics, or related field preferred.
5+ years of relevant experience.
Demonstrable proficiency in Python, Scala, SQL, or R.
Strong data visualization and reporting skills.
Expertise in extracting insights from real-world structured and unstructured datasets.
Proven track record delivering high-value, advanced analytics.
Experience leading the work of other data scientists or analysts is preferred.
Strong communication skills
Startup agility and versatility.
Visit www.entefy.com and www.blog.entefy.com. | 4.4 | Entefy
4.4 | Palo Alto, CA | Palo Alto, CA | 1 to 50 employees | 2,012 | Company - Private | Internet | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 89 | 144 | 116.5 | Entefy
| CA | 1 | 8 | 1 | 0 | 0 | 0 | 0 |
Senior Scientist (Neuroscience) | $109K-$200K (Glassdoor est.) | Sunovion Pharmaceuticals is looking for a Senior Scientist in Neuroscience to join our Discovery Sciences Department in Marlborough, MA.
As a member of the Discovery Sciences Department, this position will be responsible for designing and managing in vitro and in vivo studies to characterize the biological activity of novel small molecule drug candidates for the treatment of neuropsychiatric and neurological diseases. The position requires broad scientific expertise in the design of studies to examine biochemical pathways and receptor pharmacology and the integration of results to develop neurocircuit & pathway-based hypotheses of drug mechanism of action. Responsibilities include the management of experimental studies conducted through external research partners, as part of our strategy of a flexible business model for drug discovery. The successful candidate will have demonstrated a track record of accomplishments showing successful application of the technical skills required to probe biochemical & pathway effects in experimental systems. Excellent resource management skills and the ability to initiate and maintain effective working relationships with CROs and academic collaborators are essential. This position will work closely with colleagues in medicinal chemistry, safety/toxicology and translational medicine and development and may also lead discovery projects/initiatives.
Essential Functions:
Applies technical expertise to design & conduct studies to support the development of novel small molecules for psychiatric and neurological conditions. Develops mechanistic hypotheses and delivers research results to enhance understanding of mechanism of action & effects on biochemical pathways/circuits. May lead discovery projects/initiatives.
Manages external relationships with CROs, research partners and academic institutions to deliver high impact pharmacology results. Manages research related documentation including study plans, data files and scientific reports supporting regulatory filings. Seeks and develops new external relationships to apply new technologies to CNS discovery programs.
Works in project teams with medicinal chemists, pharmacologists, preclinical safety and translational medicine scientists to advance novel agents into development. Communicates research results to internal and external stakeholders including collaborators, key opinion leaders and partners at Sumitomo Dainippon Pharma.
Minimum Education, Experience, Knowledge and Skills Required:
PhD in Pharmacology, Neuroscience or related field with 3-5 years post-doctoral experience.
At least 3 years post-doctoral research experience in neuroscience research.
Expert in the technical application of biochemistry and receptor pharmacology techniques such as the following: radioligand binding, receptor functional assays, signaling pathways, Western blots, ELISA, neuronal cell cultures systems.
Experience with biochemical pathway analysis tools and techniques used to develop mechanistic hypotheses of drug action eg genomics, RNAseq, (phospho)proteomics desirable.
Knowledgeable in other in vitro/ex vivo techniques eg electrophysiology and able to utilize a wide range of in vitro/ex vivo technique to develop successful research strategies to probe mechanism of action.
Demonstrated record of accomplishments showing technical & research accomplishments and the ability to work collaboratively with external organizations.
Ability to work on computers for extended periods, robust data analysis skills and proficiency with professional software and statistical and pathways analysis tools are required (e.g. MATLAB, R, Python, etc.).
Must have excellent oral and written communication skills and an innovative spirit with capacity for generating new ideas.
Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential.
Compliance :Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sunovion are carried out with the \"best\" industry practices and the highest ethical standards.
Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. | 3.5 | Sunovion
3.5 | Marlborough, MA | Marlborough, MA | 1001 to 5000 employees | 2,010 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $1 to $2 billion (USD) | Shire, GlaxoSmithKline, Allergan | 0 | 0 | 109 | 200 | 154.5 | Sunovion
| MA | 1 | 10 | 1 | 0 | 0 | 0 | 1 |
Marketing Data Analyst | $35K-$62K (Glassdoor est.) | Under direct supervision of the Director of Database Marketing, the Marketing Data Analyst will work closely with members of the database marketing team and the FP&A marketing analysis team to derive insights from large amounts of customer and transactional data to develop segmentations, strategies, visualizations, reports, and recommendations for various marketing purposes. The Marketing Data Analyst will assist management with the interpretation, evaluation and interrelationship of data and generate integrated business analysis and projections to facilitate decision making.
Essential Duties & Responsibilities
Develop queries in SAS that create marketing campaigns to optimize profit and produce multi-channel campaign outputs.
Design and evaluate various tests and optimizations of campaigns.
Monitor the quality of all data at both the project and output level for the Database Marketing team.
Support the integration of new data sources and analyze and confirm the overall quality and integrity of source data.
Generate database extracts for Database Marketing teams as needed.
Provide campaign analytics to extended team, including insights and recommendations to improve message effectiveness and campaign performance.
Build business intelligence, reports and dashboards using software like SAS, Microsoft Excel/VBA, Tableau, or SAS Visual Analytics that include segment/campaign profitability and customer behavior or trends.
Create relationships with internal stakeholders to discover how data, platform and tools can assist to execute business needs.
Identify new business opportunities or potential risks based on data analysis on subject matters of various operations departments.
Train users as needed.
Perform other duties as assigned to support the efficient operation of the department.
Education/Experience/Qualifications
Bachelors or Masters Degree in Computer Science, Economics, Marketing, Finance, Mathematics, or related field required.
2+ years of experience with SAS and/or SQL and analyzing large datasets.
Equivalent combination of education and progressive, relevant and direct experience may be considered in lieu of minimum educational/experience requirements indicated above.
Advanced proficiency in Microsoft Excel and Word.
Experience working with relational databases is required.
Experience in programming/scripting.
Experience with data visualization, reporting & dash boarding tools such as SAS visual Analytics or Tableau.
Experience with Google Analytics custom reports and dashboards preferred.
Familiarity with marketing methodologies and systems such as segmentation modeling, targeting, CRM, and ROI projections and evaluation.
Predictive Modeling experience preferred.
Employee must have experience demonstrating the utmost discretion and confidentiality as they will have access to confidential information including, but not limited to: customer contact information, customer financial data, and organizational financial data.
Excellent communication skills, both written and verbal.
Must be able to obtain/maintain any necessary certifications and/or licenses.
Ability to mentor coordinators and administrative staff.
Ability to work with mathematical concepts such as probability and statistical inference. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations, including the development of financial statistical models and forecasts.
Ability to define problems, collect data, establish facts, and draw valid conclusions with minimal direction. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.
Ability to effectively present information to, and respond to questions from, groups of managers and directors. Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, governmental regulations, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.
Certificates/Licenses/Registrations
At the discretion of the San Manuel Tribal Gaming Commission you may be required to obtain and maintain a gaming license.
San Manuel Band of Mission Indians and San Manuel Casino will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990.
As one of the largest private employers in the Inland Empire, San Manuel deeply cares about the future, growth and well-being of its employees. Join our team today! | 3.6 | San Manuel Casino
3.6 | Highland, CA | Highland, CA | 1001 to 5000 employees | 1,986 | Company - Private | Gambling | Arts, Entertainment & Recreation | $100 to $500 million (USD) | -1 | 0 | 0 | 35 | 62 | 48.5 | San Manuel Casino
| CA | 1 | 34 | 0 | 0 | 0 | 0 | 1 |
Machine Learning Engineer - Regulatory | $61K-$113K (Glassdoor est.) | Job Description
What We Do
We develop and operate trade surveillance technologies across large and diverse markets. We care deeply about system availability, reliability, and performance. We balance speed, power, and complexity in our functional capabilities. Our mission drives us to create clarity from ambiguity. We work with billions of events each day. We live and breathe automation. If it’s broken, we fix it. If it needs refactoring, we refactor it. If it’s hard to test, we make it testable. We are looking for someone to join us in upgrading our machine learning capabilities.
Responsibilities:
Analyzing, prototyping, and implementing machine learning platform technologies, models, and algorithms for use in surveillance programs.
Employing a range of data processing experiences from real-time, graph, to batch for preparing model data pipelines.
Explaining technical and architectural design topics like we’re five years old.
Working with end-users to gather and define/refine functional requirements
Producing project documentation – high-level charter, functional requirements, technical design, and test documents.
Designing and implementing or integrating data set health monitoring.
Designing and implementing model training plans.
Working closely with infrastructure team on server systems.
Mentoring/Guiding new or less experienced/knowledgeable team members.
Providing on-going application support to end-users and communicating technical information clearly to an end-user audience.
Job Requirements:
7 years software industry experience with one of the following technologies:
Experience with Python and/or a strong desire to learn Python
Experience with Java and/or a strong desire to learn Java
Experience with Linux or UNIX-like operating systems and knowledge of at least one scripting language
2+ years machine learning platform experience
Strong algorithmic problem solving, data analysis, and software systems design skills
Strong knowledge of data structures and algorithms
Excellent written and verbal communication skills
Must be self-motivated and have the ability to work independently as well as part of a team, requiring minimal direction and follow-up
Experience in working on multiple projects concurrently
Experience in financial, trading, exchange, banking and/or related fields is a plus
Bachelor’s Degree in Computer Science or related field preferred
Experience with Hadoop and/or SQL desirable
Cboe Global Markets is an Equal Opportunity Employer. For more information, please click the following links:
Equal Employment Opportunity is The Law (in English)
Equal Employment Opportunity is The Law (in Spanish)
Equal Employment Opportunity is The Law (Supplement)
E-Verify Participation Poster (English)
E-Verify Participation Poster (Spanish)
Right to Work Poster (English)
Right to Work Poster (Spanish) | 3.7 | Cboe Global Markets
3.7 | Lenexa, KS | Chicago, IL | 501 to 1000 employees | 1,973 | Company - Public | Stock Exchanges | Finance | $500 million to $1 billion (USD) | -1 | 0 | 0 | 61 | 113 | 87 | Cboe Global Markets
| KS | 0 | 47 | 1 | 0 | 0 | 0 | 1 |
Data Engineer | $55K-$105K (Glassdoor est.) | Who is Trace3?
Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.
Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!
Trace3 is headquartered in Irvine, California. We employ more than 850 people all over the United States. Our major field office locations include Atlanta, Denver, Detroit, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, San Diego, San Francisco, and Scottsdale.
Ready to discover the possibilities that live in technology?
Come Join Us!
Street-Smart - Thriving in Dynamic Times
We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the "big picture." We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.
Juice - The "Stuff" it takes to be a Needle Mover
We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.
Teamwork - Humble, Hungry and Smart
We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it's due and demonstrate transparency. We "bring the weather" by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.
About the Role:
What You'll Do:
The Data Engineer will be responsible for leveraging new and emerging technologies to solve key technical challenges for our clients. The Data Engineer will act as an expert and trusted advisor who develops, implements, troubleshoots, and optimizes data solutions across many platforms. This role will work closely with clients, partners and other business units to ensure consulting engagements are successful.
SUMMARY OF ESSENTIAL JOB FUNCTIONS:
Understand customers' overall data estate, IT and business priorities and success measures to design implementation architectures and solutions using advanced analytics and artificial intelligence
Develop deep relationships with key customer IT decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates
Maintain and advance deep technical skills and knowledge, keeping up to date with market trends and competitive insights, and share within the technical community
Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers
Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners
Responsible for design, development, and hands-on implementation of data intelligence solutions including data platform build-up, proof of concepts or pilot implementation, software development, software integration, and documentation
Perform hands on development of apache, big data technologies, and framework
Serve as a data intelligence technical resource in team's efforts to determine the needs of our client's businesses that will simplify and automate the applications as well as make them more efficient
Align solutions with standards and best practices working with cross-functional engineering and consulting teams
Collaborate and communicate with Sales and Account Management team to ensure smooth and successful delivery and assist with the identification of additional Advanced Services and Sales opportunities within the customer's environment
Establish strong and lasting relationships with key stakeholders and decision makers in client organizations
Contribute to the development of internal best practices as well as new innovative consulting services offerings that we can take to market
Build a community and following around our company solutions and brand awareness
REQUIRED SKILLS AND EXPERIENCE:
Bachelor's degree from an accredited university required
Understanding and hands on experience with modern distributed data systems(Hadoop ecosystem, public cloud, etc).
Experience building applications in c# or java.
Understanding of BI technologies from traditional data warehousing to SaaS solutions in the cloud.
Experience in designing data and analytics architectures in Microsoft Azure cloud.
Well informed on cloud native technologies that enable batch and streaming data ingestion into cloud (For example: Azure Data Factory, Azure Event Hubs, Azure IoT Hubs etc)
Experienced in designing data lakes in Azure cloud for serving big data analytical workloads.
Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills
Microsoft Certified Azure Solutions Architect Expert certification a plus.
Previous experience working for a consulting or services organization strongly preferred
5+ years of software development experience in distributed systems and building large-scale applications
5+ years of experience in building large scale, high performance, high availability systems and Strong Computer Science fundamentals (algorithms, data structures)
Hadoop, NoSQL or other Big Data certifications are a huge plus
Experience with Big Data technologies (SPARK, HDFS, HBase, Cloudera, MAPR, Hadoop and other frameworks in Hadoop ecosystem
Deep knowledge of Hadoop tools (MapReduce, SPARK, Oozie, ELK, KAFKA, HUE, HBase)
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly
Intermediate knowledge with software engineering best practices
Must be able to quickly understand technical and business requirements and be able to translate them into technical implementations
Ability to mix deep technical expertise with simple, everyday language to deliver a story that is memorable, educational and useful
Highly organized, detail-oriented, excellent time management skills and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment
Ability to approach customer and sales requests with a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
Comfortable managing multiple and changing priorities, and meeting deadlines in an entrepreneurial environment
Motivated self-starter who loves to troubleshoot and solve challenging problems and feels comfortable working directly with customers
The Perks:
Comprehensive medical, dental and vision plans for you and your dependents
401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
Competitive Compensation
Training and development programs
Stocked kitchen with snacks and beverages
Collaborative and cool office culture
Work-life balance and generous paid time off
***To all recruitment agencies: Trace3 does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Trace3 employees or any other company location. Trace3 is not responsible for any fees related to unsolicited resumes/CVs. | 3.4 | Trace3
3.4 | Houston, TX | Irvine, CA | 501 to 1000 employees | 2,002 | Company - Private | IT Services | Information Technology | $1 to $2 billion (USD) | World Wide Technology, Presidio, Optiv | 0 | 0 | 55 | 105 | 80 | Trace3
| TX | 0 | 18 | 1 | 0 | 1 | 0 | 1 |
Medical Laboratory Scientist | $18-$25 Per Hour(Glassdoor est.) | Description
Medical Laboratory Scientist - Texas Health Huguley- operated as joint venture between Texas Health Resources and AdventHealth
Location Address: 11801 South Fwy., Burleson, TX 76028
Top Reasons to Work At Texas Health Huguley, Burleson, TX
Our care for patients extend to the spiritual level by praying with patients and families and providing on call, 24 hours, 7 days a week Chaplains for spiritual support.
Award winning facility and departments including Great Place to Work by Beckers Hospital Review and Gallup.
Work with the latest technology and top experts including Daisy Award recipients while on the way to Magnet status2020.
Amazing medical benefits through Aetna plus an onsite full-service fitness center.
Growth opportunities designed for each employee.
Located about 10 minutes from downtown Fort Worth and near TCU in the award-winning school district, Burleson ISD which also provides a low-cost of living.
Work Hours/Shift:
Full Time
3rd Shift
You Will Be Responsible For:
Accurately performs and expeditiously reports laboratory tests, according to departmental policies, CLIA law and regulatory standards.
Determines identity and suitability of specimens when received, according to procedure policies.
Assures test accuracy by performing and recording control testing, in accordance with departmental policy on each shift, as observed by the department supervisor.
Performs tests in accordance with department policy and reports results in a timely manner, as documented in test records.
Organizes daily work efficiently and expedites testing as observed by supervisor.
Investigates problems and takes initiative in resolving them, both technical and non-technical, and communicates the outcome to the appropriate individual.
Reviews integrity of report by checking legibility, completeness and credibility of results prior to releasing, as observed by supervisor.
Accurately performs, records, transcribes or reviews proficiency testing material by the stated deadline, according to laboratory policy and CLIA law, as evidenced in the survey evaluation results.
Maintains instrumentation and department supplies in order to ensure efficient departmental operations.
Performs and documents assigned equipment maintenance duties per shift according to maintenance manuals.
Restocks department supplies on a regular basis to ensure adequacy of inventory, as documented on department checklist.
Recognizes problems in instrumentation, performs first line repairs as outlined in procedure manual and notifies appropriate individual if unable to adequately alleviate the problem.
Promotes and contributes positively to intradepartmental and interdepartmental communications to ensure efficient departmental operation.
Answers telephone and pages promptly and in a courteous manner, identifying self and department at all times.
Assists in orientation and training of new associates unfamiliar with the department, as observed by the supervisor.
Relays all appropriate information during shift hand-off, and ensures department is covered prior to leaving.
Demonstrates good judgment in directing phone calls or questions to the appropriate department or individual.
Promotes a safe working environment by regimented clean up and adherence to safety manuals.
Adheres to established departmental guidelines for clean up on each shift.
Protects self and co-workers by practicing safety precautions as established in safety and infection control manuals.
Maintains appropriate departmental records and filing systems to ensure the expeditious retrieval of information and to comply with regulatory requirements.
Ensures that results are properly filed and that data is recorded in a legible manner as evidenced in departmental records.
Exhibits ability to perform essential computer operations pertaining to job duties.
Performs outpatient ordering as defined in the department policy.
Maintains a professional attitude in the work place regarding procedures, personnel and continuing education.
Demonstrates a willingness to learn new procedures and instrumentation by attending training sessions and becoming familiar with new revisions as they occur.
Reviews policies frequently, assists in updating contents and complies with procedures contained therein.
Demonstrates flexibility by being able to work various departments and alternative shifts when requested.
Exhibits willingness to help associates in their tasks when able.
Accepts constructive criticism and feedback.
Maintains necessary continuing education credits, keeps required competencies current, and maintains valid ASCP Certification.
Qualifications
What You Will Need:
Must have a B.S. degree in Medical Technology, Medical Laboratory Science or a related science.
Valid ASCP or AMT Technologist/Scientist Certification.
At least one year of experience is preferred.
Job Summary:
Perform and report clinical laboratory analysis to assist physicians and other hospital staff in the diagnosis and monitoring of patients.
This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances. | 4 | Texas Health Huguley Hospital
4.0 | Burleson, TX | Arlington, TX | 1001 to 5000 employees | 1,977 | Hospital | Health Care Services & Hospitals | Health Care | $50 to $100 million (USD) | -1 | 1 | 0 | 18 | 25 | 21.5 | Texas Health Huguley Hospital
| TX | 0 | 43 | 0 | 0 | 0 | 1 | 0 |
Principal Data Scientist | $135K-$211K (Glassdoor est.) | At Northrop Grumman we develop cutting-edge technology that preserves freedom and advances human discovery. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We continue to innovate with developments from launching the first commercial flight to space, to discovering the early beginnings of the universe. Our employees are not only part of history, they're making history.
The Engineering & Sciences (E&S) organization pushes the boundaries of innovation, redefines engineering capabilities, and drives advances in various sciences. Our team is chartered with providing the skills, innovative technologies to develop, design, produce and sustain optimized product lines across the sector while providing a decisive advantage to the warfighter. Come be a part of our mission!
Join a program that has been around for 16 years and under contract to go at least another 9 years. The team is currently completely revamping the architecture and bringing it up to date utilizing modern constructs and tools. You will work closely with our customers and their contractor team to lead an ongoing effort to optimize complex cyber systems. Daily you will face complex technical problems involving telecommunications, network engineering, and large data sets requiring strong statistical and data visualization skills. Solving complex technical problems, including the ability to conduct independent research and develop prototype analytical algorithms is needed. You will be analyzing performance of modern internet applications such as streaming video, VoIP or other internet transmission protocols and providing recommendations for system performance improvements. You will utilize your verbal and written skills to communicate to fellow team members and our customer. New areas of interest include Model Based System Engineering, Machine Learning and Artificial Intelligence.
Northrop Grumman Mission Systems (NGMS) is looking for you to join our team as a Principal Data Scientist based out of San Jose, CA.
A current active Top Secret Clearance is required. Applicants without a clearance may be considered with the understanding that employment will not begin until a TS/SCI clearan ce is obtained.
Qualifications:
Basic Qualifications: Systems Engineer
Bachelor's Degree in a STEM discipline (Science, Technology, Engineering, or Math) with 4 years relevant work experience; or a Master's degree in a STEM discipline with 2 years relevant work experience; or a PhD in a STEM discipline with 0 years' experience.
US Citizenship is required with the ability to obtain and maintain a Top Secret/SCI level Clearance.
Knowledgeable with at least one software or scripting language (C, C++, PERL, Python, Java, etc.), Python preferred.
Preferred Qualifications:
Current Top Secret/SCI clearance with CI poly.
Experience developing software solutions on the Unix OS platform.
Experience working with Big Data.
Experience developing and executing test plans.
Graduate Degree in Electrical Engineering, Computer Science, Physics, Mathematics.
Knowledge of Machine Learning/Artificial Intelligence.
Background in a telecommunications and/or network management.
Experience with software and hardware interface development.
Experience with system software development/configuration/ management.
Software integration experience.
Understanding network performance profiling and optimization.
Experience developing software solutions on the Unix OS platform.
Experience utilizing Data analytics tools.
Experience working with Big Data.
Understanding of IP protocols
What We Can Offer You:
Northrop Grumman provides a comprehensive benefits package and a work environment that encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following:
Health Plan
Savings Plan
Paid Time Off
Education Assistance
Training and Development
Flexible Work Arrangements
https://benefits.northropgrumman.com/us/en2/BenefitsOverview/Pages/default.aspx
Additional Northrop Grumman Information:
Northrop Grumman has approximately 85,000 employees in all 50 states and in more than 25 countries, we strive to attract and retain the best employees by providing an inclusive work environment wherein employees are receptive to diverse ideas, perspectives and talents to help solve our toughest customer challenges: to develop and maintain some of the most technically sophisticated products, programs and services in the world.
Our Values . The women and men of Northrop Grumman Corporation are guided by Our Values. They describe our company as we want it to be. We want our decisions and actions to demonstrate these Values. We believe that putting Our Values into practice creates long-term benefits for shareholders, customers, employees, suppliers, and the communities we serve.
Our Responsibility . At Northrop Grumman, we are committed to maintaining the highest of ethical standards, embracing diversity and inclusion, protecting the environment, and striving to be an ideal corporate citizen in the community and in the world.
Northrop Grumman is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO/AA and Pay Transparency statement, please visit www.northropgrumman.com/EEO . U.S. Citizenship is required for most positions. | 3.7 | Northrop Grumman
3.7 | San Jose, CA | Falls Church, VA | 10000+ employees | 1,939 | Company - Public | Aerospace & Defense | Aerospace & Defense | $10+ billion (USD) | -1 | 0 | 0 | 135 | 211 | 173 | Northrop Grumman
| CA | 0 | 81 | 1 | 0 | 0 | 0 | 0 |
R&D Specialist/ Food Scientist | $39K-$66K (Glassdoor est.) | Responsibilities Include but may not be limited to: performing various tasks assisting in development of new items, renovation of existing formulations, and supports efforts to ensure quality product is produced, maintained, and documented. Additionally, this position will underwrite efforts in product development and distribution by our sales and prourement teams. This position will also be responsible for maintaining and entering data in several databases.
As a member of the R&D Team, you will help develop products which can be reproduced in a large-scale food manufacturing environment.
Assist in the development of new bean products from concept approval, formulation, product development, plant trial runs to launch and post-launch review by collaborating with Marketing , Sales, Project management, QA, and Production.
Participate as an active member of cross-functional business development teams comprosed of individuals from a variety of desciplines, includjing Marketing, Finance, Purchasing and many others.
Assist in redesign & renovation of existing products to increase quality, reduce costs, and/or increase production efficiencies.
Partner internally and extenally to source new ingredients and leverage vendor expertise in ingredient functionality.
Assist Quality and Procurement departments in maintaining specifications for new ingredients and/or suppliers.
Supoport production with troubleshooting out of spec product or production concerns on established products.
Maintain accurate product records, documentation and archives in various databases including global data synchronization of existing retail business.
Maintain laboratory, including upkeep of equipment, stocking of supplies, and general cleaning of work areas.
Performs other related and assigned duties as necessary.
Minimun Qualifications
Must hold a Bachelors degree in Food Science from an accredited University.
Previous experience in food product development & food manufacturing strongly preferred.
Ability and interest to work in laboratory, pilot plant and manufacturing scale environments.
Proven ability to manage multiple assignments/tasks.
Ability to work independently while collaborating and communicating with team members in various departments.
Strong communication skills (oral and written).
Knowlege of Genesis labeling system preferred but not required.
Must be physically capable of lifting 50lbs. weight restriction. | 2.4 | Teasdale Latin Foods
2.4 | Hoopeston, IL | Flower Mound, TX | 501 to 1000 employees | -1 | Company - Private | Food & Beverage Manufacturing | Manufacturing | $100 to $500 million (USD) | -1 | 0 | 0 | 39 | 66 | 52.5 | Teasdale Latin Foods
| IL | 0 | -1 | 0 | 0 | 0 | 0 | 0 |
Data Engineer | $57K-$80K (Glassdoor est.) | Position Summary:
The Data Engineer will be responsible for developing data and analytics platforms, develop data pipelines and architecture for cross-functional teams.
Position responsibilities:
Design and develop a modern data platform
Hands-on experience on databases such as Snowflake, S3, and Oracle
Experience in programming languages like Python, Spark, Java
Experience working in an Agile time, basic knowledge of Agile/Scrum is a must-have
Strong Analytical skills and Critical thinking.
Knowledge of streaming tools such as StreamSets
Assists with the development of requirements and design specifications for new projects.
Contributes to analyzing defects & product support for the resolution.
Identify, analyze and present the latest industry innovations and implementations in the workspace.
Knowledge, Skills & Abilities Required:
Bachelor's degree in related area (Computer Science, Information Systems, Engineering) or an equivalent combination of education and experience.
4+ years Design, testing and applications development experience in Data management
2+ years of experience building Data Hub solutions
Having an open mindset to learn new things and adapt to changing priorities
Strong communication skills | 3.5 | Saama Technologies Inc
3.5 | Phoenix, AZ | Campbell, CA | 501 to 1000 employees | 1,997 | Company - Private | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | Unknown / Non-Applicable | Accenture, Deloitte, IBM | 0 | 0 | 57 | 80 | 68.5 | Saama Technologies Inc
| AZ | 0 | 23 | 1 | 0 | 1 | 0 | 0 |
Associate Principal Scientist, Pharmacogenomics | $63K-$127K (Glassdoor est.) | Job Description
Translational Medicine group at AstraZeneca is looking for a highly motivated scientist with experience in development of molecular assays and expertise in cutting-edge technologies in pharmacogenomics. Successful candidate will oversee the development and implementation of technologies and molecular assays to support drug development. The scientist will carry out studies using various NextGen sequencing, RNAseq, qRT-PCR and microarray platforms to support pre-clinical and clinical studies during various stages of drug discovery and development. The ideal candidate will have experience developing assays intended to be used as an in vitro diagnostic (IVD) and have a clear understanding of the requirements for IVD assay development. The scientist will interface with drug discovery and development project teams to support their experimental needs, prepare and present results, summaries to project teams and for internal reviews.
Requirements
Ph.D. in molecular biology or related field with at least 5 years of experience in molecular biology
Minimum 5 years of wet-lab experience developing and implementing technologies and molecular assays
Extensive biochemistry and molecular biology experience
Strong theoretical and practical understanding of nucleic acid analysis
Extensive experience developing and implementing genotyping and gene expression assays.
Extensive experience in various genomic technologies such as NGS, RNAseq, microarrays and qRT-PCR, as well as working with a variety of analytical platforms and instrumentation
Experience developing assays intended to be used as an in vitro diagnostic (IVD) and have a clear understanding of the requirements for IVD assay development.
Familiarity with next generation sequencing data generation and analysis
Familiarity with drug development process
Experience in working independently and collaboratively in a matrixed environment
Strong written and oral communication skills
Experience in project management in a cross functional environment and ability to manage multiple projects simultaneously
Responsibilities
Develop, validate and implement molecular assays to support various drug discovery and development projects.
Manage studies working closely with the genomics group, CROs, project teams and bioinformatics to deliver biomarker data to support programs.
Interface with internal functions and external companies to provide technical guidance in the development of IVD as needed.
Lead the evaluation, validation and implementation of novel technologies and capabilities both internally as well as at CROs
Evaluate CRO capabilities and perform pilot studies to assess capabilities and quality
Perform analysis of data and summarize results from experiments performed as required
Present key results at group meetings and to project teams, governance bodies and stake-holders
AstraZeneca is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, gender, age, national origin, disability, veteran status, or any other characteristic protected by federal, state or local law. | 3.9 | AstraZeneca
3.9 | Gaithersburg, MD | Cambridge, United Kingdom | 10000+ employees | 1,913 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Roche, GlaxoSmithKline, Novartis | 0 | 0 | 63 | 127 | 95 | AstraZeneca
| MD | 0 | 107 | 0 | 0 | 0 | 0 | 0 |
Data Scientist - Systems Engineering | $50K-$89K (Glassdoor est.) | MITRE is different from most technology companies. We are a not-for-profit
corporation chartered to work for the public interest, with no commercial
conflicts to influence what we do. The Research & Development centers we
operate for the government create lasting impact in fields as diverse as
cybersecurity, healthcare, aviation, defense, and enterprise transformation.
We're making a difference every day—working for a safer, healthier, and more
secure nation and world.
The System Engineering Analytics Department is seeking a motivated, creative Data Scientist to apply cutting edge tools and techniques to challenging problems facing the US government. This position offers the opportunity to combine systems Engineering with Data Analytics to build end to end data analytic pipelines. You will have the opportunity to learn from seasoned data professionals in a fast paced and dynamic atmosphere. You will have the opportunity to make strategic differences and have real long-term impacts on some of the most challenging problems in the government space.
Our employees are expected to work on multiple projects, cross pollinate ideas across the government, and continuously learn. We are truly an interdisciplinary department that thrives on having a large toolbox to support data/model driven decision making. We value people who bring a positive outlook and an eagerness to learn new skills.
Our department works to solve problems in the public interest, in partnership with the numerous government branches. We also actively conduct independent research of interest in support and conjunction with government and academia partners. Once established, new members of our department have latitude to work on projects of interest to them.
MITRE is a not-for-profit organization that operates research and development centers sponsored by the federal government. We currently operate federally funded research and development centers for Defense & Intelligence, Aviation, Civil Agency Modernization, Homeland Security, US Courts, and Cybersecurity. We offer exceptional benefits, strongly support policies that promote work/life balance, and operate an extensive internal research & development program.
The successful candidate will:
• Be passionate about applying data analytics to real world problems.
• Have an innate curiosity and interest in developing research questions and testing hypotheses with open ended tasking.
• Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions and conduct insightful, actionable analyses.
• Support the development and application of a variety of analytical models to sponsor challenges, with a willingness to adapt and learn.
• Present results in an intuitive, actionable manner that can be understood by all sponsor audiences, regardless of technical expertise.
Basic
Qualifications:
Bachelor's Degree in Computer Science, Computer Engineering,
Mathematics, Statistics, Systems Engineering, Software Engineering, or
related field
At least 1 year of professional experience
Required
Qualifications:
Must be a U.S. citizen with ability to possess and
maintain a DoD clearance
Proficiency in use of Microsoft Office including
Outlook, Excel, and Word
Must have demonstrated proficiency and strength in
verbal, written, PC, presentation, and communications skills
Demonstrated ability to manipulate large datasets
Experience with analytic tools such as Python, SAS,
MATLAB, JavaScript, R, Java
Data Visualization tools such as Tableau, OBIEE, C#,
JQuery
Ability to formulate complex algorithms and process to
solve complex data problems
Preferred
Qualifications:
Advanced degree in technical field of study
Candidates that possess a current/active US Government
clearance are preferred
Undergraduate research experience is a plus
Academic/ project experience working with
databases (e.g., Oracle, MySQL, SQL Server, MongoDB)
Software Development experience in a shared
environment leveraging tools such as GIT
MITRE’s workplace reflects our
values. We offer competitive benefits, exceptional professional development
opportunities, and a culture of innovation that embraces diversity, inclusion,
flexibility, collaboration, and career growth. If this sounds like the choice
you want to make, then choose MITRE—and make a difference with us. For more
information please visit https://www.mitre.org/careers/working-at-mitre.
U.S Citizenship is required for most positions. | 3.2 | MITRE
3.2 | Bedford, MA | Bedford, MA | 5001 to 10000 employees | 1,958 | Nonprofit Organization | Federal Agencies | Government | $1 to $2 billion (USD) | Battelle, General Atomics, SAIC | 0 | 0 | 50 | 89 | 69.5 | MITRE
| MA | 1 | 62 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist | $82K-$132K (Glassdoor est.) | Overview
Everyone wants to work with people they respect. Even better if you can work with a company you respect. We have both at The David J. Joseph Company, and a 135+ year track record on operating an ethical business with a positive work culture. It may sound cliché, but it’s true. We’re a big, global company that still feels small.
Working at the David J. Joseph Company is unique. We offer employment in diverse settings such as traditional corporate headquarters, dynamic sales locations, and scrap recycling facilities. This workplace diversity gives our employees the variety they crave and the exposure to a global business. A career at The David J. Joseph Company is ideal for self-starters seeking to make an impact on our company and their careers.
The David J. Joseph Company (DJJ), founded in 1885, is a world leader in scrap metal recycling & trading. With over 80 locations, the Joseph Company is headquartered in Cincinnati, Ohio and is a wholly-owned subsidiary of Nucor Corporation (NUE) a Fortune 200 Company.
Responsibilities
Partners with the business to gather requirements, understand business processes, and propose solutions for key business problems
Develops, tests and productionalizes predictive, machine learning, data mining and optimization models
Architects data pipelines and develops best practices for integrating analytics and predictive models into data warehouse, semantic, and data visualization layers
Works collaboratively with data developers to build end-to-end data solutions
Leverages databases, third-party data repositories, and other data sources to build ad-hoc and reusable data models
Engineers raw data sets for use as input into analytics models, and develops design patterns for repeatable data cleansing
Creates and implements tools to track model performance, metadata and accuracy; refactoring models as necessary
Trains data team members in advanced analytics techniques
Utilizes data visualization tools to create stories and presentations for business leadership
Performs other duties as assigned
Qualifications
Bachelor’s or Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science or equivalent
Five plus years’ development experience with a statistical programming language (R or Python)
Five plus years’ development experience utilizing SQL to extract and prepare data
Five plus years’ experience developing and implementing predictive analytics models
Five plus years’ experience with data visualization tools (e.g. PowerBI, Tableau, MicroStrategy, ggplot)
Self-starter and ability to work independently and directly with key business customers
Must be detail-oriented with the ability to manage multiple assignments effectively.
Requires effective communication skills to convey status, ideas and concepts in a team environment.
Requires professional demeanor with a high degree of flexibility, responsiveness and self-direction
Preferred experience with data warehouse modeling and ETL
Benefits
We offer a competitive compensation and benefit package including paid training, bonus program, medical, dental, vision, life and disability coverage, vacation, paid holidays, a 401(k) plan with match, tuition reimbursement and other great benefits.
EEO Statement
The David J Joseph Company (DJJ) is a drug-free workplace and conducts pre-employment testing as a condition of employment.DJJ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, religion, creed, sex, pregnancy, lactation/breastfeeding, sexual orientation, gender identity or expression, national origin, citizenship, ancestry, age, marital status, familial status, disability, genetic information, protected veteran status, military status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. DJJ hires and promotes individuals solely on the basis of their qualifications for the job to be filled. If you’d like more information on your EEO rights under the law, please click here.
DJJ reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and teammates.DJJ also provides a work environment in which each teammate is able to be productive and work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all teammates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all teammates and applicants.
E-Verify Information | E-Verify Notice
EJN
EJN | 4.4 | The David J. Joseph Company
4.4 | Cincinnati, OH | Cincinnati, OH | 201 to 500 employees | 1,885 | Subsidiary or Business Segment | Metals Brokers | Mining & Metals | Unknown / Non-Applicable | -1 | 0 | 0 | 82 | 132 | 107 | The David J. Joseph Company
| OH | 1 | 135 | 1 | 0 | 0 | 1 | 0 |
Data Scientist SR | $85K-$139K (Glassdoor est.) | Data Scientist, Senior, Charlottesville, VA
Position Summary
TBG is seeking a Senior Data Scientist to provide support.
Principle Responsibilities of the Position:
· Proficiency in at least one of the following languages: Python, R, Java, C++ as applied to programming access and manipulation of data (other languages will be considered).
· Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).
· Experience working with a range of data storage/access options (e.g. S3 buckets, FTP sites, APIs).
· Demonstrated experience enabling access to data by way of databases or dashboards.
· Familiar with Department of Defense (DoD) and Intelligence Community (IC) activities, functions, and organizational structures.
· Knowledge and understanding of DoD/IC operations, data infrastructure and architecture.
· Familiarity with cloud services as applied in the DoD and IC.
· Knowledge with simplification and optimization of data automation workflows; streamlining of extract-transform-load (ETL) operations. Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry recognized IT architecture certification program preferred.
· Knowledge of IT related disciplines: Software Development Life Cycle (SDLC) including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage.
· Knowledge of modeling approaches: Unified Modeling Language (UML), Business Process Modeling, and Data Modeling.
Knowledge and experience in statistical and data mining techniques and social network analysis
Collaborate with stakeholders within the organization to identify opportunities for leveraging data to drive analytical solutions.
Mine and analyze data from databases to drive optimization and improvement of product development, analytical techniques, and analytical assessments.
Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Develop TTPs for coordinating the flow of information and work periodically test and verify said TTPs.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Train and educate front-end users of the knowledge management tools.
Coordinate with various functional teams to implement models and monitor outcomes.
Create predictive modeling to increase and optimize customer experiences.
Develop custom data models and algorithms to apply data setsExperience creating and using advanced machine learning algorithms and statistics, regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks
· Deep understanding of data architecture approaches (e.g., TOGAF), industry standards and best practices (e.g., DMBOK).
· Strong technical skills with data technologies (e.g., Master Data Management, Enterprise Data Warehouses, Operational Data Stores, Database Management Systems, Business Intelligence).
· Practical experience with, and a strong understanding of design approaches for Enterprise Data Warehouses.
· Expert data modeling skills (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data Warehouses and Data Marts).
Education Required:
· Bachelor’s degree with 9 or more years’ experience in information technology or related discipline
· OR
· Master’s Degree with 7 or more years’ experience in information technology or related discipline
· OR
· PhD degree with 4 or more years related work experience
· OR
· Equivalent combination of education and experience
Experience Required:
· Experience cleaning, filtering, and transforming data, as well as enriching data, especially by way of database joins or table lookups.
· Must have an enterprise perspective to data and how the data drives business value.
Experience using web services including SOAP, S3, and Spark
Experience with distributed data/computing tools including Map/Reduce, Hadoop, Accumulo, and MySQL
· Experience with ETL concepts, Cognos and OBIEE tools.
· Experience with Master Data Management tools.
Special Knowledge/Skills Required:· Current DoD TS/SCI Security Clearance
The Buffalo Group is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities | 3.9 | The Buffalo Group
3.9 | Charlottesville, VA | Reston, VA | 501 to 1000 employees | 2,010 | Company - Private | IT Services | Information Technology | $100 to $500 million (USD) | ManTech, Booz Allen Hamilton, Leidos | 0 | 0 | 85 | 139 | 112 | The Buffalo Group
| VA | 0 | 10 | 1 | 0 | 1 | 0 | 0 |
Data Scientist | $72K-$121K (Glassdoor est.) | Job Description:
Accenture is helping a Federal Government agency turn complex manual processes into simple Digital experiences for the public. We're looking for talented people with experience in human-centered design, agile, DevOps, public cloud, AI, Analytics, mobile and web application development who are creative, innovative, collaborative and passionate about working with other high performers. This is your opportunity to join a modern Digital team that is developing a new experience to streamline services and change how people interact with Government. Do you want to be a part of a team that defines the future of digital government?
The Advanced Analytics group is all about focusing on our client's mission. Individuals in this role are expected to work as a Data Scientist and problem solver. He/She will be responsible for implementing and promoting data-driven decision support systems, and creating high-impact analytics solutions for our clients. In this role the Data Scientist will work on a small team and can switch assignments and projects in a disciplined and fast-paced environment. She/he must be confident to tackle complex problems, and will be expected to work on design algorithms and codify large-scale statistical models for real time processing based on the AFS analytics architecture.
The Data Scientist will have previous experience working with statistical and/or predictive model development and large-scale implementations of statistical methods to build decision support or recommender systems will enable you for this role. The Data Scientist will need to be innovative and entrepreneurial to work within a "start-up like" environment. Ability to work independently and oversee mid-level analysts. Must have a demonstrated track record of solving quantitative problems. This role is client-facing.
Responsibilities:
The Data Scientist will:
Design, develop, build classifier and implement quantitative models. Perform exploratory data analysis to identify attributes and applies predictive analytics techniques including information retrieval, machine learning, network analysis and data mining
Research, test, build, and perform data transformations for data reduction and variable analysis of risk analysis to implement statistical techniques. Design and develop new models or refresh to existing software.
Collaborate with project teams and stakeholders to identify client requirements.
Perform reporting analysis on modeling gains and impact analysis.
Implement modeling features and methods to develop custom architectures and application integration for program execution.
Act as team leader on projects.
Instruct, assign, direct, and check the work of other software developers on project team.
Provide technical/management leadership on major tasks or technology assignments. Establish goals and plans that meet project objectives. Has domain and expert technical knowledge. Direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure that technical requirements are met. Interactions involve client negotiations and interfacing with senior management. Decision making and domain knowledge may have a critical impact on overall project implementation. May supervise others
Required Skills:
2+ years experience conducting data analytics with AI, machine learning using R and Python
Use of open source data analytics frameworks (i.e. Flask, TensorFlow)
2+ years experience with threat analysis, risk assessments and analytical studies
Bachelor's degree from accredited university or related work experience
U.S. citizenship and clearable for Federal background investigation
Preferred Skills:
Masters Degree from accredited university
Recruiter Name: Rohan
Phone Number: 281-968-2074
For more open requirements, please visit http://www.compqsoft.com/current-openings.html
About Us:
CompQsoft Inc. Established in 1997, headquarters in Houston, TX and office in Leesburg, VA. CompQsoft offers a range of comprehensive Cyber Security, Infrastructure, Cloud solutions, ERP implementation, Business Intelligence, Application development, Ecommerce applications and Management consulting services. CompQsoft is Certified CMMI Level 3 practitioner for Development and Services, ISO 9001:2015, ISO 27001:2013 & ISO 20000-1:2011 Certified. CompQsoft is a fast growing company with a strategy and methodology that is strongly focused on the success of our clients, predominantly the Federal government.
CompQsoft is an Equal Opportunity / Affirmative Action Employer. M/F/D/V
Visit www.compqsoft.com to learn more about our culture, benefits. | 3.4 | CompQsoft
3.4 | Washington, DC | Houston, TX | 51 to 200 employees | 1,997 | Company - Private | Consulting | Business Services | $10 to $25 million (USD) | -1 | 0 | 0 | 72 | 121 | 96.5 | CompQsoft
| DC | 0 | 23 | 1 | 0 | 0 | 0 | 0 |
Scientist, Bacteriology | $74K-$149K (Glassdoor est.) | Scientist, Bacteriology
Location
Cerus US
Department
1400 - Microbiology
Apply Now
Job Brief (Primary Responsibilities)
Initiates and executes research and development viral infectivity assays using a variety of different bacteria, including pathogenic species, in human blood and blood products
JOB DESCRIPTION
Title: Scientist, Bacteriology
Department: Development Status: Exempt
Summary & Scope of Position:
Plans, initiates and executes GLP and research bacteriology studies evaluating the efficiency of Cerus’ technologies against a variety of different human pathogens in human blood products. May occasionally participate in virology assays.
Primary Responsibilities:
Initiate and execute experiments, either independently or as a team member; including experiments
Some of the work may support product claims and regulatory submissions
Work with various pathogenic bacteria using appropriate precautions
Prepare and manipulate whole blood and various blood products, including plasma, platelets and RBC
Initiate, grow and maintain various bacteria
Develop and optimize bacterial stock growth
Develop, optimize and qualify or validate bacterial assays
Perform and appropriately document GLP and notebook studies
Make detailed observations, analyze data and interpret results
Prepare technical reports, summaries, protocols and quantitative analyses
Analyze data and results for research experiments as well as GLP studies
Prepare final reports, study plans, etc., necessary for multiple projects
Prepare and deliver presentations of experimental results in internal or public forums
Maintain high level of professional expertise through familiarity with current scientific literature
Contribute to project progress within his/her scientific discipline
Perform as subject matter expert in general bacteriology
Contribute to/author regulatory submissions and scientific journal articles
May manage bacteriology laboratory including direct supervision of a small staff
May design, initiate and manage off-site studies
Perform other related duties as required
Act as principal investigator in conducting own experiments
Act as study director for GLP studies
Uses professional concepts and company’s policies and procedures to solve a wide range of difficult problems in imaginative and practical ways
Makes decisions on the validity and importance or experimental results
Exercises judgment within defined practices and policies in selecting methods and techniques for obtaining results
Qualifications/Requirements/Skills:
Ph.D. in a bacteriology-related discipline preferred with 2 years relevant experience or MS/MA in a microbiology-related discipline with a minimum of 8 years relevant experience; BA/BS required with a minimum of 15 years relevant experience
Postdoctoral work may serve as experience
Demonstrated ability to initiate, carry out and complete research and/or development projects
Demonstrated working knowledge of scientific principles of microbiology
Experience in developing new methodology and techniques
Experience working with pathogenic organisms
Demonstrated experience with bacterial assays for viability determination and enumeration, experience with a wide range of bacteria
Experience with PCR and other amplification techniques
Experience with cell, or molecular biology
Experience with cell culture, including stock preparation and repository maintenance
Exposure to identification of bacterial morphology
Experience working with human blood products desirable
Experience working in a GLP or other regulated environment desirable
Strong attention to detail and accuracy
Must have publications in peer-reviewed journals, or demonstrated ability to independently write reports that address key technical research and development issues
Excellent mathematical skills, problem solving skills, and ability to apply scientific methods to resolution
Strong word processing, spreadsheet, scientific and graphics applications skills
Proven analytical skills; problem-solving, trouble-shooting, innovative
Team oriented
Ability to work independently
Strong communication and presentation skills (verbal, excellent written, interpersonal, listening)
Flexible; ability to adapt to changing priorities
Time management (schedules, timelines, task prioritization) | 2.1 | Cerus Corporation
2.1 | Concord, CA | Concord, CA | 201 to 500 employees | -1 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $25 to $50 million (USD) | -1 | 0 | 0 | 74 | 149 | 111.5 | Cerus Corporation
| CA | 1 | -1 | 0 | 0 | 0 | 0 | 1 |
Associate Director, Platform and DevOps- Data Engineering and Aritifical Intelligence | $113K-$196K (Glassdoor est.) | Job Description
Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as an Associate Director, Platform and DevOps in our Cambridge, MA.
At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Futureto people around the world.
Here, you will be a vital contributor to our inspiring, bold mission.
Takeda is looking for leader in Development Operations and Cloud Scale Analytics to join our Data Engineering and Artificial Intelligence team. As a member of the Data Engineering and AI team, you will be tasked with creating an ecosystem to have the right data, to ask the right question, at the right time. You will work with the rest of the team to enable Takeda to continue its journey to harnessing large scale Big Data, Machine Learning and Deep Learning techniques, while focusing and educating others in the specialty that is Large Scale DevOps. You will help manage a modern ecosystem using elastic and serverless components. You will be helping to solve some of the biggest question at Takeda and for healthcare in general.
POSITION OBJECTIVES:
Provide leadership and highly specialized expertise in the Data Engineering and AI portfolio, complicated data ecosystems, big data and high compute clusters and modern IAAS deployments with elastic and serverless implementations.
Oversee and drive the deployment of automated infrastructure and software deployments from development to production. Demonstrates innovative methods of cloud based IAAS deployments and modern scripting tools to quickly launch, shut down and re-launch platforms and applications using modern and innovative scripted techniques on in an agile accelerating approach and realizing business outcomes, while keeping alignment with the business vision. Also act as a coach for operational excellence to other teams inside and outside of R&D.
Provide leadership to proper operations management. This includes proper “key management” and “controlled operations” for continuous deployments. Ensure quality of service for highly complex deployments with source code control, automation, understanding of scripted service-based environments into IAAS ecosystems, with business continuity in mind.
Manage strategic global R&D systems configuration and deployment within Data Engineering and AI, providing proper discipline and rigor as we deploy new innovative solutions to produce insights that impact our R&D portfolio.
Lead and manage advanced service teams for the Data Engineering and AI portfolio focused on innovation within R&D and manage third party operations teams to function together to provide all the above.
POSITION ACCOUNTABILITIES:
Serve as the DevOps and Operations Lead during Implementation and Deployment of artifacts for Data Engineering products that drive decision for R&D.
Uses new techniques, operational experience and business experience to drive the IT and R&D landscape to develop and ensure products and developments are innovative, secure and use state of the art deployment techniques. Also influences end of life components and transitions vs future state progress against product portfolio’s and long-term goals.
Influence the existing complex landscape and solutions by innovating, redefining and simplifying designs, propose and execute solutions to identified highly complex R&D problems in data or process driven agile approaches.
Designs/builds/deploys complex system and products to R&D to deliver value to our pipeline while ensuring we have a forward-looking technology base, continuously managing short change cycles to drive to our future state strategy.
Lead deployments, ensuring security, integrity and alignment, applying modern/innovative deployment and security techniques, included proper key management, encryption and intrusion prevention / detection.
Build and accelerate new capabilities with the R&D IT functions to transform and innovate new insights and ways of working, impacting the management of keys and operations, the capabilities and the time to change towards improved business outcomes and client satisfaction.
Influence, provide feedback and oversee data scientist and data engineer outputs to find, propose and improve R&D solutions.
Ensure our advanced capabilities are in steady operation, using scripted infrastructure and deployment techniques. This will require utilizing and driving our existing third-party teams who currently manage our deployments maintain a proper production system.
Use coding and/or scripting tools to automate tasks for software and infrastructure deployment and monitoring.
Work independently on tough problems with other team members and independently solve, with some guidance, very difficult technology problems.
Demonstrate advanced tooling and techniques to other technical organizations throughout the company.
EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:
Required
Bachelor’s degree or equivalent experience in Scientific, Informatics, Computer Science or related.
5+ years of experience as a technical specialist or relevant project work.
Experience managing outsourced operations teams as a virtual operations team.
Understanding of scripted deployment tools including Ansible, Cloud Formation, Puppet or Chef.
Working knowledge of both Hadoop and HPC environments.
Knowledge and Understanding of IAAS Environments with a focused-on AWS.
Experience managing advanced data platforms including NoSQL (MongoDB, Other), SQL (PostgreSQL, MySQL) and Spark environments.
Experience and Understanding with Docker and other container-based services.
Ability to work in an agile and rapid changing environment with high quality deliverables.
Preferred
Master’s degree/PhD or equivalent experience in Scientific, Informatics, Computer Science or related field.
WHAT TAKEDA CAN OFFER YOU:
401(k) with company match and Annual Retirement Contribution Plan
Tuition reimbursement Company match of charitable contributions
Health & Wellness programs including onsite flu shots and health screenings
Generous time off for vacation and the option to purchase additional vacation days
Community Outreach Programs
Empowering Our People to Shine
Discover more at takedajobs.com
No Phone Calls or Recruiters Please.
#LI-JV1
Locations
Cambridge, MA
Worker Type
Employee
Worker Sub-Type
Regular
Time Type
Full time | 3.7 | Takeda Pharmaceuticals
3.7 | Cambridge, MA | OSAKA, Japan | 10000+ employees | 1,781 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Novartis, Baxter, Pfizer | 0 | 0 | 113 | 196 | 154.5 | Takeda Pharmaceuticals
| MA | 0 | 239 | 0 | 0 | 1 | 1 | 1 |
Data Scientist | $69K-$121K (Glassdoor est.) | DS/ML stack:
Languages: Python, Spark, SQL
Algorithms: Classifications, Regressions, Neural Networks, Time series, Graphs
Infrastructure: AWS (EMR, EC2, S3, etc)
Visualization: Tableau or similar
What will you do?
Develop and/or use various algorithms to build predictive models within a healthcare (e.g. risk of readmission to hospital).
Collaborates with business & product teams to understand their problems and goals, develop predictive modeling approaches, statistical analysis, data reports and performance metrics.
Performs analyses of structured and unstructured data to solve multiple and/or complex business problems using advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry.
Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions.
Use strong programming skills to explore, examine and interpret large volumes of data in various forms.
Comfortable reading academic oriented literature and collaborating with subject matter experts to inform better predictive models.
We are looking for someone with:
3+ year’s professional experience as a data scientist or machine learning engineer
1+ year’s professional experience working with big data and relational databases
Strong hands-on modeling experience building predictive models
Strong knowledge of advanced applied data science (machine learning, neural networks, etc.), mathematical modeling, computational, statistical, data mining techniques (regression, decision trees, clustering etc.), and dimensionality reduction techniques.
Strong experience with data manipulation, analysis and visualization.
Strong experience mentoring junior colleagues
Advanced degree in physics, applied mathematics, statistics or a related field is preferred
Healthcare industry experience is a plus
About Signify Health
Signify Health partners with leading health plans, healthcare providers, biotechnology and pharmaceutical companies, and technology companies to improve the quality of life by providing comprehensive care where and when it's needed most. In addition, Signify Health delivers software and services that enable payers, employers and at-risk providers to organize and finance healthcare delivery around a patient’s episode of care. With an innovative logistics and clinical workflow technology platform, exhaustive data set, and an unparalleled national clinical network, the company provides tech-enabled care services to vulnerable populations within the routine of their daily lives to improve health and quality of life. Signify Health delivers its services to partners at more than 1,000 healthcare locations nationwide and serves well over one million health plan members each year, providing health risk evaluations, complex care management, outcomes-based pharma services, and specialized medical services in the home and other convenient locations. Signify Health has multiple offices in Texas with additional locations in Connecticut, New York and South Dakota. To learn more, please visit www.signifyhealth.com. | 3.4 | Remedy BPCI Partners, LLC.
3.4 | New York, NY | Norwalk, CT | 201 to 500 employees | 2,011 | Company - Private | Health Care Services & Hospitals | Health Care | Unknown / Non-Applicable | Healthfirst (New York), naviHealth | 0 | 0 | 69 | 121 | 95 | Remedy BPCI Partners, LLC.
| NY | 0 | 9 | 1 | 0 | 1 | 1 | 0 |
Data Scientist | $71K-$124K (Glassdoor est.) | Overview
Do you love numbers and finding the story in the numbers? Does the thought of tackling a complex data issue make you smile? Have you got a knack for solving problems? Do you want to help drive the results of a multi-million dollar business? If you have answered "yes" to these questions, the Data Scientist position at Strategic Financial Solutions may be the right fit for you.
Strategic is looking for an experienced Data Scientist with statistical and machine learning experience to join our Data Science Team, which produces models for prescriptive and predictive analytics. The person in this role would be responsible for conducting data analysis and developing predictive models by leveraging data science and machine learning to solve various business use cases, including marketing intelligence, customer segmentation, and predictive models for operations.
This is a great opportunity for someone who wants to learn all aspects of business as he/she will support our product, sales, leadership and marketing teams with insights gained from analyzing company and external data.
Candidates must have strong experience in a variety of data manipulation tools, data analysis/ mining methods to build and implement models and should be able to develop algorithms and simulation methods. A successful candidate will have the proven ability to drive business results with their data-based insights.
Responsibilities
Research and develop statistical and machine learning methodologies to solve complicated business problems
Work with stakeholders to identify opportunities by leveraging large data sets to drive business decisions. Collaborate with sales, marketing and senior executive teams for model development
Strong communication skills and ability to clearly present ideas and technical findings to key decision makers
Qualifications
Knowledge of statistical and machine learning techniques in regressions and classifications such as generalized linear models, classification trees, Random Forest, XGBoost, SVMs etc. Industry experience in such areas a definite plus.
Knowledge of stochastic process in terms of transaction matrix and equilibrium distribution, etc.
Experience in R, Python, and SQL, etc. and in variable selection and dimension reduction skills such as LASSO and PCA
Strong problem-solving skills with an emphasis on financial risk management in sales and marketing predictive analytics
Unsupervised learning experience such as k-means, hierarchical clustering, Bayesian network etc.
Excellent written and verbal communication skills for coordinating across teams
Graduate degree in Statistics, Data Science, Applied Math, Operations Research, Computer Science or other areas in STEM. Exceptional candidates with undergraduate degree will be also be seriously considered.
About Strategic:
Strategic Financial Solutions is a leading consumer finance company that specializes in helping people that have too much credit card debt. We were recently named the 21st Best Company to Work for in New York by Best Companies to Work For and have been certified as a Great Place to Work 4 times. Additional honors include being named, two times, as one of the 50 fastest growing companies in New York City and to the prestigious Inc. 500 list as one of the 500 fastest growing companies in the United States.
Please mark @talent.icims.com as a safe sender to ensure recruiter emails don't go to spam | 4 | Strategic Financial Solutions
4.0 | New York, NY | New York, NY | 501 to 1000 employees | 2,007 | Company - Private | Consumer Product Rental | Consumer Services | Unknown / Non-Applicable | National Debt Relief, Freedom Financial Network | 0 | 0 | 71 | 124 | 97.5 | Strategic Financial Solutions
| NY | 1 | 13 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist | $97K-$160K (Glassdoor est.) | Who We Are!
At Maven Wave, we are relentless in hiring the industry’s top talent. Each employee is hand-picked not only for their skills, but for their personality and broad expertise. We are looking for this rare combination of talent that sets us apart in the industry.
Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. We combine the expertise of top-tier consulting with the agility of a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave’s digital solutions are agile, mobile, rooted in analytics, and built in the cloud.
Maven Wave, Google, and YOU: Drive and deliver business results with data-based insights.
We are looking for a Senior Data Scientist who will utilize their analytical, statistical, and programming skills to develop data-driven solutions to complex business challenges.
Your Life As a Maven:
Leverage company data to drive business solutions for enterprise clients using R and Python.
Perform data collection for Data Science operations including Machine Learning.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
Assess Model accuracy using common metrics (AUC, F1, etc.) and explain the results to client stakeholders.
Your Expertise:
7+ years of experience manipulating data sets and building statistical models.
Cloud experience in a major platform, such as AWS, GCP, or Azure.
Experience using Data Science languages (R, Python) to manipulate data and draw insights.
Knowledge of a variety of Machine Learning and advanced analytical techniques and their real world advantages/drawbacks.
Familiarity with the following software/tools: Python, C, Java, Jupyter Notebooks, SQL, ML platforms (H2O, DataRobot), distributed data (Map/Reduce, Hadoop), and visualization (Tableau, qikview)
Your X-Factor:
Aptitude - You have an innate capacity to transition from project to project without skipping a beat.
Communication - You have excellent written and verbal communication skills for coordination across projects and teams.
Impact - You are a critical thinker with an emphasis on creativity and innovation.
Passion - You have the drive to succeed paired with a continuous hunger to learn.
Leadership - You are trusted, empathetic, accountable, and empower others around you.
Why We’re Proud To Be Mavens!
Google Cloud North America Services Partner of the Year 2019, 2018
#21 Best Workplaces in Chicago, FORTUNE, 2018
Great Place To Work Certification, Great Place to Work, 2017 & 2018
Fast Fifty, Crain's Chicago Business
101 Best and Brightest Companies to Work For, National Association for Business Resources (NABR)
Top Google Cloud Partner, Clutch
Fastest Growing Consulting Firms in North America (#11, #37), Consulting Magazine
Top IT Services Companies, Clutch
Google Global Rising Star Partner of the Year
Ready to Learn More?
Life as a Maven
Check out the Apps and Data Team
See what Glassdoor has to say
Real Customer Stories | 4.4 | Maven Wave Partners
4.4 | Chicago, IL | Chicago, IL | 201 to 500 employees | 2,008 | Company - Private | Consulting | Business Services | $50 to $100 million (USD) | -1 | 0 | 0 | 97 | 160 | 128.5 | Maven Wave Partners
| IL | 1 | 12 | 1 | 0 | 0 | 1 | 1 |
Senior Research Scientist-Machine Learning | $81K-$167K (Glassdoor est.) | What We Do:
At the SEI Emerging Technology Center, we describe our work as “making the recently possible mission-practical.” We help our government customers stay at the leading edge of technology by identifying, demonstrating, extending, and applying emerging software technologies to solve real government problems. We currently work in the fields of human-machine interaction, applied artificial intelligence and machine learning, and advanced computing—areas that are changing and progressing rapidly. As we show our customers how new technologies can improve their mission capabilities through rapid prototyping and iterative development, we both rely on and shape academic and industrial research.
Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Position Summary:
As a senior research scientist focusing on machine learning, you will identify, shape, apply, conduct, and lead research that matches critical U.S. government needs.
Requirements:
BS in Computer Science or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
Flexible to travel to other SEI offices in Pittsburgh and Washington, DC, sponsor sites, conferences, and offsite meetings on occasion. Moderate (25") travel outside of your home location.
You will be subject to a background investigation and must be eligible to obtain and maintain a Department of Defense security clearance.
Duties:
Hands-on research: You’ll conduct and lead novel research in applied machine learning and artificial intelligence.
Solution development: You’ll work with and lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
Strategy: You’ll work with Center leaders and colleagues to plan, develop, and carry out an overall research strategy, and to influence the national research agenda regarding future technology.
Collaboration: You'll actively participate on teams of software developers, researchers, designers, and technical leads. You'll build relationships and collaborate with researchers, government customers, and other stakeholders to understand challenges, needs, possible solutions, and research directions.
Mentoring: You'll contribute to improving the overall technical capabilities of the Center by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI Emerging Technology Center team.
Knowledge, Skills, and Abilities:
Deep technical knowledge: You have performed extensive research in applied machine learning and artificial intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
Communication and Collaboration: You have strong written and verbal communication skills and can interact collaboratively and diplomatically with customers and colleagues. You grasp the big picture, direction, and goals of an effort while focusing great attention to detail. You can present complex ideas to people who may not have a deep understanding of the subject area.
Dedication: You can meet deadlines while multi-tasking–sometimes under pressure and with shifting priorities.
Creativity and Innovation: You are creative and curious, and you are inspired by the prospect of collaborating with premier researchers and visionaries at Carnegie Mellon and other universities and organizations. You quickly learn new procedures, techniques, and approaches. You are forward-looking and can connect research with practical challenges.
Knowledge and Learning: You possess broad technical interests along with a deep knowledge of a particular field such as human-computer interaction, data analytics and machine learning, advanced computing, and autonomy and adaptive systems.
Desired Experience:
Research practices and publications: You have a track record of conducting research in machine learning and artificial intelligence. You have a reputation for the highest level of research and technical integrity. You have demonstrated contributions and have published research.
Familiarity with emerging trends and opportunities: You are familiar with technical challenges and emerging trends in computing and information science, and you are aware of opportunities in industry and government.
Technical leadership: You have led research projects and have experience collaborating across research teams and mentoring other researchers.
Proposals: You have formulated and delivered successful research proposals to funding agencies and led the resulting projects.
Government projects: You have worked or are familiar with DARPA, IARPA, Service Labs, or other government research sponsors
More Information
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
A listing of employee benefits is available at: www.cmu.edu/jobs/benefits-at-a-glance/.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. | 2.6 | Software Engineering Institute
2.6 | Pittsburgh, PA | Pittsburgh, PA | 501 to 1000 employees | 1,984 | College / University | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 81 | 167 | 124 | Software Engineering Institute
| PA | 1 | 36 | 0 | 0 | 0 | 0 | 0 |
Principal Data Scientist | $150K-$238K (Glassdoor est.) | Position Overview
The Climate Corporation is looking for an innovative Principal Data Scientist to lead the development and implementation of core AI solutions to impact the operations and foundations of The Climate Corporation’s Science at scale. Working with engineering and scientific leaders, you will set the strategic direction of productizing large scale scientific problems that inform our products and programs. The problems of scaling Agronomic Science via ML and DL are complex and challenging, and you will be leading excellence in Climate’s productization strategy. You will need to adopt an architectural vision and work with Machine Learning Engineers and Data Scientists in our team to accelerate the deployment and quality that our growers and enterprise receive. This is a cross-functional role in which you will collaborate with AI Researchers/Engineers as well as Data Engineers. We will remind you that you can do all this while having fun.
What You Will Do:
Architect and lead the tactical implementation on the productizing AI frameworks at scale informing Climate and Bayer products and programs
Provide strategic direction to accelerate the deployment of scientific innovation into efficient and robust ML/DL pipelines
Set the standards that take ML/DL capabilities to the next level at Climate and translate them into actionable projects shooting for operationalization excellence
Starting from ambiguous problem definitions, discover new business opportunities and implement optimal and scalable solutions that leverage multiple methodologies, technologies, and skill sets
Mentor and coach a team of talented data scientists and machine learning engineers to adopt an MLOps mentality that empowers the rest of the organization
Build trusted partnerships across the company. Enable functions by supporting them and leading new AI capabilities for the entire company
Required Qualifications:
Advanced degree in Statistics, Data Science, Computer Science, Math, Engineering, or other quantitative discipline
7+ years experience as a technical leader with exceptional hands-on experience in building AI capabilities
2+ years experience leading the execution of data-intensive projects in a cross-functional setting
Demonstrated experience implementing AI solutions working with a wide-array of data science and engineering infrastructure and relevant cloud solutions
Expert adopter of CD4ML to ensure quality in the ML/DL process
Natural team player and focused on customer needs
Preferred Qualifications:
In-depth knowledge of AI technologies and capabilities
Experience translating scientific frameworks into scalable AI solutions
Experience with MLOps best practices, tooling, and infrastructure
Interested in understanding Agronomic Science, Imagery, and Geospatial frameworks to investigate how it can be translated into scalable Data Science to better serve our customers and enterprise
What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers.
We provide competitive salaries and some of the best perks in the industry, including:
Superb medical, dental, vision, life, disability benefits, and a 401k matching program
A stocked kitchen with a large assortment of snacks & drinks to get you through the day
Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used
We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development
We also hinge our cultural DNA on these five values:
Inspire one another
Innovate in all we do
Leave a mark on the world
Find the possible in the impossible
Be direct and transparent
Learn more about our team and our mission:
The Climate Corporation - The Technology Behind Making A Difference
https://youtu.be/c5TgbpE9UBI or visit https://climate.com/careers
Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.
As part of our dedication to the diversity of our workforce, The Climate Corporation is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@climate.com. | 3.2 | The Climate Corporation
3.2 | San Francisco, CA | San Francisco, CA | 501 to 1000 employees | 2,006 | Subsidiary or Business Segment | Enterprise Software & Network Solutions | Information Technology | Unknown / Non-Applicable | Granular, Intuit, John Deere | 0 | 0 | 150 | 238 | 194 | The Climate Corporation
| CA | 1 | 14 | 0 | 0 | 0 | 1 | 1 |
Clinical Laboratory Scientist | $24-$39 Per Hour(Glassdoor est.) | POSITION PURPOSE:
Performs CLIA moderate and high complexity laboratory tests and analyses; recognizes and corrects problems; possesses in depth knowledge of laboratory techniques, principles, and instruments; correlates and interprets test results. Provides physicians with rapid and accurate test results.
ESSENTIAL JOB FUNCTIONS:
Performs CLIA moderate and high complex lab testing, automated and non-automated, in hematology, chemistry, blood bank, microbiology, coagulation, serology, and molecular diagnostics.
Performs, statistically evaluates, troubleshoots, and records quality control, calibrations, validations on test assays.
Performs and records preventive maintenance on lab instrumentation. Identifies, evaluates, and performs corrective maintenance on lab equipment.
Validates, correlates with patients' diagnosis, interprets, & reports laboratory test data; enters data into LIS system and reviews it's completeness and accuracy. Reports and interprets data to physicians, infection control, regulatory agencies, as required.
Performs specimen collection, handling, processing, storage. Evaluates specimens quality for testing and troubleshoots deviations.
Assists in the development of QA and QI projects; collects and tabulates QA data.
Assists with training and education of new med techs and lab assistants.
Maintains competency and continuing education in general lab practices.
Perform other duties as assigned. Must be HIPAA compliant.
MINIMUM QUALIFICATIONS:
Experience:
3 years in a CLIA high complexity lab required.
Certification(s):
MLS(ASCP) = ASCP certification as a Medical Laboratory Scientist or
MT(AMT) or AMT certification as a Medical Technologist required
Computer / Typing:
Must possess, or be able to obtain within 90 days, the computers skills necessary to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc. | 3.7 | Vail Health
3.7 | Vail, CO | Vail, CO | 501 to 1000 employees | 1,966 | Hospital | Health Care Services & Hospitals | Health Care | $100 to $500 million (USD) | -1 | 1 | 0 | 24 | 39 | 31.5 | Vail Health
| CO | 1 | 54 | 0 | 0 | 0 | 0 | 0 |
Data Analyst 1, full-time contract worker for up to 12 months | $35K-$65K (Glassdoor est.) | Purposes
In addition to your application, please follow the instructions & complete the a SQL assessment accessible through this link:
https://bit.ly/sql-test-church
The purpose of the Family History Department is to create inspiring experiences that bring joy to all people as they discover, gather, and connect their family—past, present, and future. Our quality standards guide the way we work. They are: inspiration, trust, kindness, effectiveness, and simplicity.
If our purpose statement and quality standards are something you believe in, we invite you to apply for this position. One of the expectations of employment in the Family History Department is a willingness to do Family History research and help others do the same.
Provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. The incumbent will initiate queries on the database using different manipulations to obtain the information needed. With this data the analyst will need to interpret this information, translate it into a more usable format, and then communicate the findings to management. Incumbent will also manipulate data to include feedback from other parties. Much of the data this position works with is of a sensitive nature and must be safeguarded. The demands of this position require the incumbent to have an intuitive understanding of the systems worked with as well and the ability to develop innovative solutions to complex problems. This position’s customers demand timely and accurate data.
Incumbent may also be asked to participate in contract and compliance administration activities as described below.
Responsibilities
Conducts analysis of database and information for legal research purposes.
Ensures the accuracy of the information received, validates data quality, including sources, reliability completeness, validity and uniqueness to maintain the integrity of the process.
Works with and educates customers on research results.
Instructs employees concerning database content, interrelationships on database, interpretation of reports, and so forth. Incumbent must be able to teach the level of the customer, even on highly technical issues and be viewed as an ally.
Restructures data into usable formats (Excel, Pdf files, etc.) for customers.
Interfaces with work team to ensure that everyone has understanding of database processes to complete their work assignments.
Channels the data to where it is needed, builds queries, and completes quality assurance.
Builds data and reports that enables business leader to make informed decisions.
CONTRACT ADMINISTRATION: Supports supervisor with administering standard contract terms and ensuring compliance with standard contract conditions, rights, and obligations for archive agreements and projects. Assists in coordinating and confirming agreement to amendments. Processes executed contracts to manage tracking of terms through electronic document management systems.
COMPLIANCE ADMINISTRATOR: Applies standard rules that ensure business is conducted in full compliance with all applicable national and international laws and regulations for the purposes of managing risk.
Qualifications
Education and Work Experience: BS/BA Degree in Mathematics, Statistics, Data Science, or a related field plus a minimum 0-2 years performing single system data validation, quality assessments, and configuration of reports OR no degree w/6 years’ experience performing single system data validation, quality assessments, and configuration of reports.
Writing of queries, and reports, using SQL
Advanced MS Office Product Suite skills, specifically Excel and Access.
Knowledge of database design principles.
Understanding of ETL (Extract, Transform, Load).
Experience in business requirement gathering and process improvement analysis.
Seeing and understanding the story the data tells.
Works with minimal oversight and meets established deadlines
Delivers defined projects with moderate oversight
Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex issues.
Thrive in both team environment and as an individual contributor
Worthiness Qualification
Must be a member of The Church of Jesus Christ of Latter-day Saints and currently temple worthy.
Posting Notice/More Info.
Please Note: All positions are subject to close without notice.
Find out more about the many benefits of Church Employment at http://careers.churchofjesuschrist.org.
#LI-EW1
]]> | 4.2 | The Church of Jesus Christ of Latter-day Saints
4.2 | Salt Lake City, UT | Salt Lake City, UT | 10000+ employees | -1 | Nonprofit Organization | Religious Organizations | Non-Profit | Unknown / Non-Applicable | -1 | 0 | 0 | 35 | 65 | 50 | The Church of Jesus Christ of Latter-day Saints
| UT | 1 | -1 | 0 | 0 | 0 | 1 | 1 |
Data Scientist | $77K-$132K (Glassdoor est.) | Crossix is seeking intellectually curious, resourceful, and collaborative Data Scientists to join our Advanced Analytics team. This is an excellent opportunity to help us build the technology and data science products that power our business and be at the forefront of innovation in the healthcare technology space.
The team is guided by its core values as it works to solve the most challenging problems in healthcare data and analytics:
Singular Focus
Speed
Humility
Ownership
Challenge
What You'll Do
Apply machine learning, data mining, and statistical analysis techniques to large health and consumer data sets to build new products and methodologies
Collaborate closely with a team of data scientists, product managers, and executives to discover and deliver product offerings from prototype to massive scale
Rapidly build prototype product solutions, communicate findings, and iterate
Explore and find meaning in high volumes of data to evaluate data quality and extract actionable insights that will help drive business decisions; execute data querying, data cleansing, and experiment design
Draw from prior experience and technical expertise to identify product improvements and inform testing plans; break overall objectives down into underlying problems that can be prioritized and solved
Master core parts of the Crossix technology platform. Technologies include Spark, SQL, Python, R, AWS, and proprietary data mining software
Work with engineering and development teams to improve and implement features in Crossix's platform
What You've Done
Graduate level degree in quantitative discipline with at least 2 years of work experience; 6+ years of relevant post-collegiate work experience without graduate degree
Advanced knowledge and professional experience in statistical modeling, machine learning and data mining
Strong problem-solving skills with an emphasis on product development
Strong hands-on coding skills in statistical modeling programming languages such as R and Python
Advanced SQL skills; expertise in best practices and tools for interacting with large data sets
Experience with AWS for data-warehousing and processing is a plus
Excellent written and verbal communication skills
Who You Are
Have a desire and preference for working in a fast-paced, entrepreneurial environment
Enjoy having clear ownership of a goal even if the path to get there is not entirely clear
Have a curiosity to figure out new problems
Are humble and truly think about the success of the group before your own contribution
Are comfortable challenging existing norms, thinking and teammates, always doing so respectfully
About the Team – Crossix is the market leader in delivering hard-to-come-by insights that enable healthcare marketers to plan, measure, and optimize their marketing campaigns with confidence. Using our own proprietary technology and network of health and non-health data, our analyses pinpoint the tactics, programs, and channels that improve performance and boost sales, enabling better healthcare communications. And we do it all while protecting consumer privacy.
Leadership – With decades of combined experience and an unrivaled track record of healthcare innovation, our leadership team sets the standard for us. Their knowledge and expertise continually challenge us and the industry – through their work, their speaking engagements at conferences and their thought leadership published in the top industry publications.
Culture – We know that our employees set us apart. Along with competitive salaries and benefits, we invest in creating compelling opportunities for professional development and career growth. We also believe that diversity is essential to building an environment where everyone can feel they belong. We're continuously building an inclusive company where everyone feels welcome and heard. Come join our rapidly growing team!
We are an equal opportunity employer and welcome all qualified applicants regardless of race, color, religion, sex, gender identity, sexual orientation, marital status, ancestry, national origin, age, disability, genetic information, or veteran status. | 3.5 | Crossix Solutions
3.5 | New York, NY | New York, NY | 201 to 500 employees | 2,005 | Company - Public | Advertising & Marketing | Business Services | Unknown / Non-Applicable | -1 | 0 | 0 | 77 | 132 | 104.5 | Crossix Solutions
| NY | 1 | 15 | 1 | 0 | 1 | 1 | 1 |
Data Scientist | $51K-$88K (Glassdoor est.) | Job Description Header 2 Data scientist Location Phoenix, AZ Duration Long Term contract Solugenix is hiring a ldquoData Scientistrdquo for one of its financial Client in Phoenix, AZ. Ideal candidates need to have experience R, Python, Statistical Analysis. Responsibilities Technical ndash Able to comprehend complex tasks assigned and executes them with little to no supervision. Logical Thinking ndash Able to think analytically, use a systematic and logical approach to analyse data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management ndash Basic level of project management knowledge and experience. Should be able to plan tasks, discuss and work on priorities. Customer Focus ndash Dedicated to meeting the expectations of internal and external clients. Problem Solving ndash Uses rigorous logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers. Is excellent at honest analysis. Looks beyond the obvious and doesnrsquot stop at the first answers. Communication ndash Able to convey ideas and information clearly and accurately to self or others whether in writing or verbal. Qualifications bull Minimum 3 years of experience with Financial clients working on different ML problems. bull Extensive programming skills, ideally in Python. Proficiency in NumPy, Pandas and Scikit. bull Minimum 3 years hands on experience working with at least 2 out of SAS, SQL, Python, R. bull Must have experience in using Statistical techniques like Regression Modelling Optimization Statistical TechniquesTime Series AnalysisForecastingMulticlass ClassificationClustering. bull Advanced knowledge of Machine Learning Statistics. bull Knowledge of any deep learning framework. bull Experience in Natural Language ProcessingComputer Vision using Deep Learning. bull Expert in using Excel and PowerPoint to draw and present insights to client problems. About the Client Our client is an American financial services company. It ranks among the worldrsquos oldest and largest investment management organizations. They have offices globally. About Solugenix For over 50 years, Solugenix has been a global technology development and services firm with locations in California, Arizona, India and the Dominican Republic. As a pioneer in Professional Staffing and IT Consulting, wersquove partnered with some of the biggest global corporations across many industries. Our history was built on a foundation of partnerships with global brands like McDonaldrsquos, Microsoft, CIT Group, Johnson Johnson, Herbalife, Sony Pictures Entertainment, and many others who look to Solugenix to be their trusted partner in providing professional staffing, non-IT and IT solutions.We live our core values in everything that we do, starting with ldquodoing the right thingrdquo for our employeescontractors and ldquocommitting to client successrdquo. This is a big part of how we continue to make lists like ldquo2019 Forbes Small Giantsrdquo. We also forge strategic partnerships with vendors and corp-to-corp candidates (C2C) that share our core values and encourage you to partner with us. In addition to generating ground-breaking, industry-defining solutions for our clients and our own projects, we partner with clients with whom we share core values and a common professional culture to help them find talent for their valuable opportunities. At Solugenix, we invest in the personal development and growth of every individual. While this is a position with one of our esteemed clients, Solugenix will continue to invest in your personal growth and development, providing you with a successful career as well as ensuring client success. | 4.3 | Solugenix Corporation
4.3 | Phoenix, AZ | Brea, CA | 201 to 500 employees | 1,969 | Company - Private | IT Services | Information Technology | $50 to $100 million (USD) | -1 | 0 | 0 | 51 | 88 | 69.5 | Solugenix Corporation
| AZ | 0 | 51 | 1 | 0 | 0 | 0 | 1 |
Data Scientist | $101K-$141K (Glassdoor est.) | American Career College and West Coast University are
industry leaders in helping individuals pursue their educational and
professional goals. We are currently seeking a Data Scientist for our Administration Office in Irvine,
California. This is an outstanding opportunity for a professional
individual to join a growing organization.
SUMMARY:
Reporting to
the Director, Predictive Analytics, the Data Scientist provides analytical
support to organizational decision makers via analysis and interpretation of
data.
Leverages critical thinking and
problem-solving skills to extract valuable business insights.
Conducts
lifecycle analysis including requirements gathering, analytical modeling, and
presenting findings.
Develops algorithms to extract and leverage insights from
data to optimize organizational opportunities.
Possesses a passion
for applying data and analytics while consistently developing personal and
organizational capabilities.
Aids the organization to consistently be more
data-driven and seek actionable insights.
Tells a story with data by finding
relationships, drawing conclusions, and making recommendations.
Mines complex
data to create statistical models, reports/visualizations, machine learning
models, and compare predictive models.
EDUCATION:
Bachelor’s
degree in statistics, mathematics, or a related field required.
Master’s
degree in statistics, mathematics, or a related field preferred.
EXPERIENCE:
1 – 3 years
experience.
Demonstrated
experience and working knowledge of quantitative, modeling, and data analysis
skills.
Demonstrated
experience and working knowledge of relational databases and database query
tools (SQL Server or similar).
Experience
creating data visualizations using Tableau, Power BI, or similar applications.
Experience
using R, Python, or similar languages.
Experience
using SAS, SPSS, Stata, or similar software.
BENEFITS:
Health, dental and vision plan
Vacation, sick and holiday schedule
Tuition Reimbursement
401(k) Plan with employer match
Flexible Spending Account
Long/short term disability and more.
To
learn more and apply for this exciting opportunity, please visit our websites: www.americancareercollege.edu OR
www.westcoastuniversity.edu
American
Career College and West Coast University are proud to be an equal opportunity
employer, and we seek candidates who desire to work in and serve an
ethnically-diverse population. | 2.6 | West Coast University
2.6 | Irvine, CA | Irvine, CA | 10000+ employees | 1,997 | Company - Private | Colleges & Universities | Education | Unknown / Non-Applicable | -1 | 0 | 0 | 101 | 141 | 121 | West Coast University
| CA | 1 | 23 | 1 | 0 | 0 | 0 | 0 |
Data Engineer - Consultant (Charlotte Based) | $59K-$112K (Glassdoor est.) | Do YOU love working with Data in machine learning, real-time analytics, or Big Data in a Cloud environment? Do you find that you want to choose other technologies but work for a vendor that limits the options that you can recommend? We are looking for a Data Expert to help us help our clients evaluate and implement big data and advanced analytics solutions in the Cloud. At Clarity Insights, we only provide Data & Analytics expertise. It’s all we’ve ever done and we love specializing in it and working on hard problems.
Clarity Insights is the largest independent professional services firm focused exclusively data analytics solutions. Our Data Engineering practice has one vision: to drive better business outcomes through data and analytics. We provide data analytics advisory and solution delivery consulting services. We believe that nothing sells like great delivery, and are committed to our people and client delivery excellence. With continuing, aggressive growth plans for the next five years, Clarity is seeking outstanding data analytics leaders to successfully qualify, propose, close and lead client solution delivery.
As a Data Engineer for Clarity Insights you will not only be building data pipelines to efficiently and reliably move data across systems, but also building the next generation of DW/Big data solutions to enable us to take full advantage of this data. In this role, your work will broadly influence our client’s data consumers and analysts. You will get the opportunity to work with focused and scaled objectives at high profiled clients that have some of the most challenging problems to take on.
Responsibilities
Hands-on self-directed engineer who enjoys working in collaborative teams.
Develops highly scalable, end to end process to consume, integrate and analyze large volume, complex data from sources such as Hive, Flume or Kafka.
Integrate datasets and flows using a variety of open source and best-in-class proprietary software.
Profile and analyze complex and large datasets.
Collaborate and validate implementation with other technical team members.
Coordinates and leads internal meetings.
Basic Qualifications
Bachelors Degree and 3+ years of work experience
Experience building processes around data transformation, data structures, metadata, dependency and workload management with object-oriented scripting languages such as Python or other object-oriented/object-function languages (such as Java, C++ or Scala) is required.
Strong SQL experience analyzing, transforming and integrating high volume, complex data sources with considerations for accuracy and efficient performance.
Experience transforming data out of and into Hadoop/Hive is preferred.
Fluency in Linux development and common development-related configuration tasks.
Demonstrated experience implementing custom ETL solutions in Data Warehousing environments.
Expertise creating efficient data structures with considerations for distribution, segmentation, colocation, etc., for ELT and analysis access paths; understanding of data management concepts such as 3NF, Dimensional, Data Vault, NoSQL/Key-value and their applications for data management and analysis.
Ability to analyze high volume data against business requirements to identify deliverables, gaps and inconsistencies.
Passion to build business driven, data solutions regardless of technology.
Excellent communication skills with the ability to identify and communicate data driven insights and technical approach.
Ability to contribute independently and self-manage delivery in a collaborative environment.
(Some travel required - 10-20%)
Why Clarity Insights, Why Consulting and Why Now?
We don’t try to be everything to everybody all the time. We specialize in Data & Analytics and will remain a platform and tool agnostic company so you can grow technically throughout your career. It sounds ridiculous but you actually need to be 100% technical and 100% business with strategy because we don’t hire non-communicative robots who have a one size fits all approach. We often could speak to a CFO or Head of Underwriting about a business or finance problem, and based on the need for real-time and affordable scalability, we can outline – in terms they can understand – why they should think about a cloud solution for big data and analytics. If we step across to the DevOps lab, we can easily pick up on a conversation about Apache committers, OSF, full stack development, microservices, containers and much more. We’re not trying to boil the ocean. We want to grow from 400 people to 1700 people in 4 years to take the market an accessible set of consulting skills. We have a lot of fun together. Most people join here and stay here for the people. That said, we are popular so we do rack up some travel miles. I have a million things to share about why that may change and why that must stay the same for now, but here’s a suggestion – if you LOVE Cloud Computing for Big Data and/or Advanced Analytics, Machine Learning, etc we should talk.
Clarity Insights is an Equal Employment Opportunity Employer. We believe in treating each employee and applicant for employment fairly and with dignity.
GLDR | 4.2 | Clarity Insights
4.2 | Charlotte, NC | Chicago, IL | 201 to 500 employees | 2,008 | Company - Private | IT Services | Information Technology | Unknown / Non-Applicable | -1 | 0 | 0 | 59 | 112 | 85.5 | Clarity Insights
| NC | 0 | 12 | 1 | 0 | 0 | 0 | 1 |
Data Engineer | $79K-$147K (Glassdoor est.) | WHO WE ARE
NCSOFT® established in 1997 and headquartered in Seoul, South Korea, is one of the leading gaming publishers in the world. At NCSOFT West, we develop new games, manage our existing game portfolio, initiatives and game services across the Americas, Europe, Australia and New Zealand. Together we operate many of the most successful and influential massively multiplayer online games in the industry, welcoming hundreds of millions of players daily into exciting living worlds for extraordinary adventures.
We are looking for a savvy Data Engineer who is eager to continually improve their skills, learn new technologies and is willing to take initiative beyond basic responsibilities
WHAT YOU'LL DO
As a Data Engineer, you'll be responsible for gathering and collecting data, storing it, doing batch processing or real-time processing on it, and serving it to data scientists and data analysts to easily query.
RESPONSIBILITIES:
Understanding data source (10%)
Develop data processes for construction, mining, and modeling that are delivered to the data analyst/science team (30%)
Create large data warehouses by running some ETL (Extract, Transform and Load) that is used for analysis by the analyst/scientists (30%)
Install continuous pipelines of huge pools of filtered information so that data analyst/scientists can pull relevant data sets for their analyses (20%)
Develop, construct, test and maintain architectures such as databases and large-scale data processing systems (10%)
REQUIREMENTS:
BS in Computer Science or equivalent experience
3+ years of day-to-day working experience as data engineer
Experience with object-oriented and functional programming languages: Python, Scala etc.
Experience with RDBMS (MS-SQL, MYSQL etc.) and NoSQL (MongoDB, DynamoDB etc.)
Experience with Big Data query and application knowledge: Hive, Impala, Fluentd, Spark, Sqoop, Pig etc.
Experience with ETL and data integration tool : Airflow, Informatica PowerCenter
Experience with AWS cloud services: EC2, S3, EMR, Glue, RedShift, Athena etc.
Proficiency in general database administration concepts and efficient query writing
Excellent verbal and written communication skills
This is a full time, on-site position at our office in Aliso Viejo, CA. A casual, friendly work environment, a comprehensive benefits package, a competitive salary, and more are all part of what makes NCSOFT West a great place to work. | 3.1 | NCSOFT
3.1 | Aliso Viejo, CA | Seoul, South Korea | 1001 to 5000 employees | 1,997 | Company - Public | Video Games | Media | $10+ billion (USD) | Blizzard Entertainment, Riot Games, Electronic Arts | 0 | 0 | 79 | 147 | 113 | NCSOFT
| CA | 0 | 23 | 1 | 0 | 1 | 1 | 1 |
Data Scientist (Warehouse Automation) | $79K-$127K (Glassdoor est.) | SoftBank Robotics, the global leader in workforce automation, is seeking a passionate data scientist to join a fast-growing team that is focused on shaping the future of logistics with artificial intelligence and robotics. We believe automation to be the next big technological shift, comparable to the introduction of the smartphone. As part of the warehouse automation team, you will participate in the design and deployment of solutions for networks of distribution and fulfillment centers, integrating the most advanced robotics technologies.
In this role you will be the data guru of the warehouse automation team. You will provide the team with the appropriate data analysis to design solutions and supply chain networks, as well as data to monitor operations.
Responsibilities include:
Analyze inbound and outbound flows of goods.
Identify demand patterns, identify areas of improvements to increase performance and lower cost.
Analyze operations data, monitor performance and identify failures for our service team.
Work closely with all teams across the SBR organization, suppliers and customers to deliver solutions.
Improve and automate data collection systems, data analytics and dashboards to optimize quality and efficiency.
Requirements:
Master's Degree preferred, data/computer science, statistics or mathematics.
3+ years experience of engineering, analysis, statistics, product operations or equivalent experience; experience with SaaS and hardware product analytics
3+ years of SQL / Python / R or other mathematical programming languages experience with the ability to write complex SQL queries and use business intelligence tools (Grafana, Splunk, Tableau, PowerBI)
Fluency in data analysis, including experimentation, data visualization, defining KPIs, and communication around data
Ability to drive solutions to complex problems quickly and work independently
Experience in supply chain / logistics, warehouse automation, material handling, inventory management is a strong plus.
Strong organization and time management skills
Strong personal and presentation skills
Strong analytical and critical thinking skills
Ability to travel based on client needs (estimated 15%)
SoftBank Robotics America is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, SoftBank Robotics America will also consider for employment qualified applicants with arrest and conviction records. | 3.8 | SoftBank Robotics
3.8 | San Francisco, CA | Paris, France | 201 to 500 employees | 2,005 | Subsidiary or Business Segment | Consumer Products Manufacturing | Manufacturing | $25 to $50 million (USD) | -1 | 0 | 0 | 79 | 127 | 103 | SoftBank Robotics
| CA | 0 | 15 | 1 | 0 | 0 | 1 | 0 |
Scientist, Immuno-Oncology | $62K-$119K (Glassdoor est.) | Site Name: USA - Massachusetts - Cambridge
Posted Date: Mar 24 2020
Are you energized by a challenging role in immuno-oncology, where scientific demand is driving team growth? If so, this Scientist would be a great opportunity to consider.
The Immune Biology Group within GSKs Immuno-Oncology & Combinations Research Unit (IOC RU) is seeking a scientist with experience in oncology or immunology to join our team.
In this role, you will be responsible for conducting innovative research designed to identify and validate immune-based therapies for cancer.
Responsibilities include:
Deliver critical path biology results to support GSKs pipeline of diverse cancer immunotherapies from early discovery to first-time-in-human commitment.
Establish and expand internal wet lab capabilities at a growing GSK site.
Actively participate in building and maintaining drug discovery relationships with partners in Oncology and other business units.
Work within a dynamic and collaborative environment to deliver high-quality scientific data packages to meet experimental and organizational goals.
Why You?
Basic Qualifications:
We are looking for a professional with these required skills to achieve our goals:
Bachelors degree in biology, immunology or related field with 3+ years of experience.
Strong scientific background in immunology or oncology research, with a focus on bioassay development to functionally characterize biologics and/or small molecules.
Demonstrated hands-on ability to conduct and analyze experiments to investigate mechanisms of action for multiple drug candidates and their combinations.
Ability to interpret data clearly both verbally and in documents and present results in an organized and concise manner.
Strong communication skills and open-mindedness to conduct research in a cross-functional team environment.
Ability to prioritize, manage time efficiently, and implement creative solutions to meet program needs.
Commitment to continual improvement by reading and applying the latest scientific literature, methodologies and technology where appropriate.
A high level of integrity and desire to develop transformational medicines that bring benefit to patients.
Preferred Qualifications:
If you have the following characteristics, it would be a plus:
Masters degree in biology, immunology or related field.
2+ years pharmaceutical or biotechnology industry research experience working in matrixed drug discovery project teams.
Research expertise in immunology with focus on functional characterization of T and/or myeloid cells.
Demonstrated ability to design and execute research projects independently.
Please use the cover letter to highlight how you meet the competencies for the role. Your cover letter along with your CV will be used to assess your application. Thanks for your interest in this opportunity.
Why GSK?
Our values and expectations are at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
Operating at pace and agile decision-making using evidence and applying judgement to balance pace, rigor and risk.
Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
Continuously looking for opportunities to learn, build skills and share learning.
Sustaining energy and well-being.
Building strong relationships and collaboration, honest and open conversations.
Budgeting and cost-consciousness.
*LI-GSK
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSKs compliance to all federal and state US Transparency requirements. For more information, please visit GSKs Transparency Reporting For the Record site. | 3.9 | GSK
3.9 | Cambridge, MA | Brentford, United Kingdom | 10000+ employees | 1,830 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Pfizer, AstraZeneca, Merck | 0 | 0 | 62 | 119 | 90.5 | GSK
| MA | 0 | 190 | 0 | 0 | 0 | 1 | 0 |
Senior Data Scientist | $119K-$187K (Glassdoor est.) | At Factual we love all things data! Our mission is to organize and optimize the world's location information. As a Data Scientist, you will have the opportunity to shape and influence the direction of our products and propel the growth of our business. You will collaborate with a diverse team of software engineers and data analysts to optimize our current machine learning models and pipelines while also developing creative, data-based solutions. You will be working on many different projects, ranging from scoring the popularity of a place at a given time to pairing anonymized geolocation data with real-world place visits.
About you:
You are passionate about using your programming, data wrangling, and analytical expertise to drive product and business decisions. You are a skilled communicator that will provide thought leadership on metrics, features, and products to teams across the company. You have strong engineering experience and enjoy working in a rapidly changing environment. And most of all: you ship.
What you'll do:
Build models to solve a wide range of location data problems
Design experiments and work with fellow engineers to ensure thoroughness and correctness on a variety of analyses
Use and commit to our data processing software and frameworks
Author specification and lead technical projects
Propose creative strategies based on data-driven insights
What we're looking for:
4+ years of industry experience maintaining production machine learning pipelines and using data science to solve business problems
Deep understanding of machine learning concepts and algorithms - particularly classification, clustering, and supervised learning.
Expertise with Python/Scala/Java
Familiarity with distributed programming with Spark or MapReduce
Applied knowledge of Statistics (we really value people who can handle uncertainty and variance)
Willingness and ability to wrangle messy data
An advanced degree in a quantitative field (Math, Statistics, Computer Science)
Excellent oral and written communication skills
Cover letters will be greatly appreciated! Thanks! | 4.3 | Factual
4.3 | Los Angeles, CA | Los Angeles, CA | 51 to 200 employees | 2,008 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | Foursquare | 0 | 0 | 119 | 187 | 153 | Factual
| CA | 1 | 12 | 1 | 0 | 1 | 0 | 1 |
Jr. Data Scientist | $81K-$132K (Glassdoor est.) | MITRE
is a trusted operator of federally funded research and development centers and
we're on a mission to make the world a safer place-for all of humanity, today and in the future. To
deliver on our mission, we need the world’s best talent and
leaders-groundbreakers and partnership-builders on a global scale in areas like
healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity.
In return, we have
the privilege of backing you with thousands of technical experts in diverse
fields, a culture of innovation and knowledge
sharing, access to data and resources uniquely available to MITRE through our
wide-ranging partnerships across government, industry and academia.
MITRE
performs leading-edge research and development toward transformational
solutions to our world’s most challenging problems. Our Center for Advanced
Aviation Systems Development is a Federally-Funded Research and Development
Center (FFRDC) established to serve as strategic partners to the federal
government and various aviation groups around the world. Our engineers,
analysts, technical and operational experts team to solve problems in the
public interest that improve the safety and efficiency of the airspace system
in the U.S. and abroad.
The
Aviation Operations, Procedures & Safety division is seeking a highly
qualified engineer to work in one of the following areas: Airspace and
Procedure Design and Analysis; Airport and Airspace Analysis, Modeling and
Design; Performance-Based Navigation Standards and Tools; and Aviation Safety
Analysis. The candidate will work with the FAA and international customers,
leveraging the largest repository of aviation data to improve the capabilities,
safety, and efficiency of the aviation system. Come join a globally recognized
partner and resource for data driven solutions that impact public good.
The candidate
will be responsible for:
Contributing
to various projects applying innovative analysis techniques across multiple
challenging problems in the field of aviation.
Working
closely with other engineers and scientists in the design of exploratory
analyses or simulations pertaining to aviation issues.
Drawing
conclusions from a wide range of aviation system data and articulating key
findings in both written and verbal form.
Developing
data visualization products that simplify presentation of big data
calculations.
Knowledge of programming/scripting languages (eg. Python, MATLAB, R, Perl)
Familiarity with statistical analysis packages (eg. SAS, JMP)
Familiarity with machine learning techniques and algorithm development.
Excellent written and verbal communication skills. In-person presentation and writing sample may be requested.
Experience with data visualization software (eg. Tableau, D3)
Knowledge of data processing capabilities (eg. Hadoop, Pig, Spark, SQL). Skill is desired, but not required
Experience working in the aviation domain: airport operation, air traffic control, airlines. Skill is desired, but not required
BS or MS in Operations Research, Applied Mathematics/Statistics Computer Science, Systems Engineering, or other physical science/engineering | 3.2 | MITRE
3.2 | McLean, VA | Bedford, MA | 5001 to 10000 employees | 1,958 | Nonprofit Organization | Federal Agencies | Government | $1 to $2 billion (USD) | Battelle, General Atomics, SAIC | 0 | 0 | 81 | 132 | 106.5 | MITRE
| VA | 0 | 62 | 1 | 0 | 1 | 0 | 1 |
Senior Data Scientist | Employer Provided Salary:$120K-$140K | SkySync is a dynamic, fast-paced, venture-backed software innovator based in the Ann Arbor tech cluster, with remote Syncopaths in all US time zones. Our quirky and unique workforce excels at managing our customer’s content migration, synchronization, and orchestration challenges like no other in our space. We are poised for rapid growth and need a Data Scientist to contribute to building and developing our understanding of the data we encounter. We are looking for someone from the southeastern Michigan area and preference will be given to candidates within this geographic location.
You’ll be doing a lot of this:
Understanding the decision-making process, workflows, and business and information needs of business unit heads and service manager/owners
Translating business needs into analytics/reporting requirements to support executive decisions and workflows with required information
Proactively mining data warehouses to identify trends and patterns and generates insights for business units and senior leadership
Performing large-scale experimentation to identify hidden relationships between variables in large datasets
Researching and implementing cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
Determining requirements that will be used to train and evolve deep learning models and algorithms
Visualizing information and develops engaging reports on the results of data analysis using data visualization tools
Advising product teams on new products, features or updates through data-based recommendations
Developing frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint
Supporting user experience specialists and information architects to enhance information visualization through development of dashboards and user interfaces
Distributing best practices to analytics and product teams and provides consultations for their data-based experimentations
Other duties as assigned
So you should have this:
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experience at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Demonstrated ability to work with minimal supervision
Experience using statistics and machine learning to solve complex business problems
Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
Experience with big data analysis tools and techniques
Experience building and deploying predictive models, web scraping, and scalable data pipelines
Master’s degree or PhD in computer science, statistics, economics or related fields
Ability to think critically while solving problems in a rapidly changing product
This position is a great fit for you if you like keeping up with the cutting edge of data science and helping build a position from the ground up. Knowing how to engage with new challenges daily and handle competing priorities is a must.
This position is not a great fit for you if you like established processes for every situation or a static set of duties and responsibilities.
Qualities Needed for Success
Excellent listening, writing, and professional communication skills are a must. You should be able to demonstrate proficiency in most of the duties and responsibilities listed above. In our fast-paced world, a great attitude combined with enthusiasm is key to individual success along with embodying our entrepreneurial spirit. | 5 | SkySync
5.0 | Ann Arbor, MI | Ann Arbor, MI | 51 to 200 employees | 2,011 | Company - Private | Computer Hardware & Software | Information Technology | Unknown / Non-Applicable | -1 | 0 | 1 | 120 | 140 | 130 | SkySync
| MI | 1 | 9 | 0 | 0 | 0 | 0 | 1 |
Products Data Analyst II | $90K-$157K (Glassdoor est.) | TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.
TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR.
#LI-VB1
Job Summary/Overview
As a Data Analyst in the Products Organization, you will promote leveraging data and metrics to support the full product lifecycle from discovery through adoption and beyond. This is a ‘hands on’ role and will require responsibility for all aspects of delivery (e.g. developing custom reports and dashboards) and engagement across the enterprise data community to partner on data and solutions. Skills in joining diverse sets of data from a variety of sources will be critical.
The products data analyst will support a variety of data use cases, from defined dashboards and scorecards, to data-as-a-service, to ad-hoc analysis requests. One key set of customers are Product Managers who need support to collect the right analytics, manage data privacy constraints, analyze data, plan live data tests, and interpret the results. This will include tasks such as creating time series, correlating events and variables, and building predictive models. They’ll also need dashboards and scorecards to assess product health and trends from reliable, consistent data sources. You’ll help generate and evolve key metrics and trending indicators to support product assessment. You’ll also be responsible for creating and maintaining organizational level dashboards and scorecards in partnership with the corporate data community.
The ideal candidate is self-driven, thrives on new problem spaces, can connect data and business problems. You love using data to tell a story and excel at turning data into visual pictures. You have a skeptical eye that always wants to see the data behind the answer and you’re the first one to think about outer join relevance, however you also have a positive attitude and the confidence to keep digging.
Key to your success will be your ability to partner with product managers and TriNet’s diverse data community to drive solutions. You will leverage and share tools, data sets, and insights to help build up the data practice within the Products Team and across TriNet.
Essential Duties/Responsibilities
• Responsible for gathering and assessing product information needs and preparing data requirements
• Guide key business strategy and product decisions through the end-to-end formation and ownership of advanced data analysis
• Work closely with various product teams to clearly define problem statements and success metrics
• Identify appropriate data sources to address problem statements; develop new sources when needed; join diverse data sets, creating co-relations and structures to yield powerful insights
• Collect, record, sanitize, and analyze data using best-in-class practices
• Collaborate with internal and external partners to design and perform experiments (including product discovery experiments) and follow through with validation of results against hypotheses
• Deduce meaningful insights from data analysis, and translate into easily interpretable but powerful data visualizations; synthesize learnings to create standardized data collection and analysis approaches and build a library of referenceable data visualizations
• Educate product managers and internal partners about data analysis techniques and processes; become a “data librarian” of sorts, to act as the go-to person for Product Managers to understand what data is available across the organization, and for partners to understand what data is available from products
• Partner across organization to develop procedures for collecting, recording, analyzing, and communicating data
• Provide User Training with key constituents to drive adoption of data methods, tools, and practices
Job Requirements & Qualifications
• Thorough understanding of data models and data modeling concepts
• Familiarity with utilizing different types of data, including clickstream data, usability data, and/or other behavioral data
• Excellent communications and presentation skills with ability to adjust communication styles depending on type of target audience
• Exceptional skills in creating data-based visualizations
• Exceptional teaming skills and ability to excel in matrix work environment where requirements can be often ambiguous
• Ability to handle moderately complex projects involving integration with diverse technologies and data sets
• Ability to work, collaborate, and lead cross-functional teams to support deadlines
• Ridiculous Excel and/or SQL skills
• Working knowledge of Tableau, R, Erwin, ETL, Oracle, MongoDB, and SAS platform, or similar data-related experience
• Strong aptitude for learning new technologies
Work Environment/Other Info
• Bachelor's or Master's degree, preferably in Statistics, Economics, Operations Research, Data Science, or equivalent
• 4 years of experience driving results through data in a complex data-rich environment
• Demonstrated operational acumen a plus
• Experience in products-driven environment a plus
• Mathematics or Statistics background a plus
• Experience analyzing clickstream and usability metrics a plus
• Possesses a keen style of communication and presentation in order to translate the data effectively to all team members.
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation.
Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity.
TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact recruiting@trinet.com to request such an accommodation. | 3.3 | TriNet
3.3 | Dublin, CA | Dublin, CA | 1001 to 5000 employees | 1,988 | Company - Public | Consulting | Business Services | $2 to $5 billion (USD) | Paychex, Insperity, ADP | 0 | 0 | 90 | 157 | 123.5 | TriNet
| CA | 1 | 32 | 0 | 0 | 0 | 0 | 1 |
Data Architect / Data Modeler | $63K-$110K (Glassdoor est.) | Medidata: Conquering Diseases Together
Medidata is leading the digital transformation of life sciences, creating hope for millions of patients. Medidata helps generate the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes. More than one million registered users across 1,400 customers and partners access the world's most-used platform for clinical development, commercial, and real-world data. Medidata, a Dassault Systèmes company, is headquartered in New York City and has offices around the world to meet the needs of its customers. Discover more at www.medidata.com.
We are looking for a seasoned Data Architect/Modeler who has strong prior experience designing data architecture for large scale and complex business applications. You will be part of an enterprise data architecture team that works closely with our product managers and application developers to create scalable and extensible data architectures that supports the application’s business requirements.
Key Responsibilities
Partner with Product Management and Engineering to understand product/customer requirements.
Must be able to lead both high level and detailed data design discussions to arrive at suitable model and architecture.
Create and update conceptual and logical data models to define high level business concepts and their relationships to one another
Create and update physical data models for specific database servers, e.g. Oracle, Redshift, Postgres, MySQL, Snowflake etc
Influence development teams to pro-actively design and document their data as a part of the SDLC
Qualifications
Bachelor’s/Master’s degree in Math, Business, Engineering, or Science.
10+ years of professional experience working in software design as a Data Architect / Data Modeler.
Experience creating extensible data models that support business requirements.
Ability to identify ambiguity in requirements and work with stakeholders to improve precision of requirements.
Experience leading teams to a solution, able to make appropriate trade-offs.
Solid understanding of Normal Forms, expert SQL writer
Expertise with drawing ER diagrams for large complex business applications.
Expertise with database servers from both relational and NoSQL vendors. Know the tradeoffs between relational and NoSQL platforms.
Strong verbal & written communications skills with excellent vocabulary and appreciation for semantics.
Nice to haves but not required...
Experience designing schema for ERP, eCommerce, life science and clinical EDC applications.
Experience designing schema for SaaS and Multi-tenant applications
Medidata is making a real difference in the lives of patients everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform.
Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. With this asset, we pioneer innovative, advanced applications and intelligent data analytics, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach waiting patients sooner.
Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
#LI-AS1 | 4.3 | Medidata Solutions
4.3 | New York, NY | New York, NY | 1001 to 5000 employees | 1,999 | Company - Public | Enterprise Software & Network Solutions | Information Technology | $500 million to $1 billion (USD) | Oracle | 0 | 0 | 63 | 110 | 86.5 | Medidata Solutions
| NY | 1 | 21 | 0 | 0 | 0 | 1 | 1 |
Analytics Manager - Data Mart | $42K-$86K (Glassdoor est.) | We have an opportunity to join the Alliance as the Analytics Manager - Data Mart leading in the Analytics Services Department.
WHAT YOU'LL BE RESPONSIBLE FOR
Reporting to the Analytics Director, you will manage and lead the analytical data management function, including the gathering and assessment of business information needs for enterprise analytics and preparation of system requirements in order to create a single source of truth. Manage and lead the business information solution based Key Performance Indicator (KPI) dashboard reporting, customization, training and related integration with the Enterprise Data Warehouse (EDW). You will also manage, supervise, mentor and train assigned staff.
ABOUT THE TEAM
Our Analytics teams are skilled, focused, and highly collaborative. We work hard, have fun and take pride in how our work impacts the health outcomes for the communities we serve.
THE IDEAL CANDIDATE WILL HAVE
Passion and drive to roll up their sleeves and be a hands on manager
Expertise and passion in the design, maintenance and evaluation of comprehensive analytical data marts
Strength in developing data management plans, data dictionaries
Experience and excitement for developing new teams and processes
Strong communication skills and the ability to partner with cross-functional teams
Ability to lead and inspire others, while promoting an environment that supports professional growth, embraces complex challenges and celebrates accomplishments
WHAT YOU'LL NEED TO BE SUCCESSFUL
To read the full position description, and list of requirements click here.
Knowledge of:
Data warehouse and analytical data mart concepts
SQL
Tools and techniques of data analysis and information reporting
Thorough knowledge of information repository issues and concepts
Joint Application Design (JAD) facilitation or other requirements-gathering techniques
Relational database concepts and the creation of queries and reports using SQL and Tableau
Data elements and their relationship to data quality requirements
Ability to:
Develop work plans and workflows and organize and prioritize analytical data mart activities
Interpret and apply complex principles, policies, terms and procedures
Define issues, interpret data, identify solutions, and make recommendations for action
Independently document, summarize and resolve complex issues and projects
Train, mentor, supervise, and evaluate the work of staff
Education and Experience:
Bachelor's degree in Computer Science, Information Science or a related field and seven years of experience performing data analysis and manipulation which included some experience leading or supervising staff; or an equivalent combination of education and experience may be qualifying
OUR BENEFITS
Medical, Dental and Vision Plans
Ample Paid Time Off
11 Paid Holidays per year
401(a) Retirement Plan
457 Deferred Compensation Plan
Robust Health and Wellness Program
EV Charging Stations
And many more
ABOUT US
We are a group of over 500 dedicated employees, committed to our mission of providing accessible, quality health care that is guided by local innovation. We feel that our work is bigger than ourselves. We leave work each day knowing that we made a difference in the community around us.
Join us at Central California Alliance for Health (the Alliance), where you will be part of a culture that is respectful, diverse, professional and fun, and where you are empowered to do your best work. As a regional non-profit health plan, we serve over 330,000 members in Santa Cruz, Monterey and Merced counties. To learn more about us, click here or check out this video.
At this time the Alliance does not provide any type of sponsorship. Applicants must be currently authorized to work in the United States on a full-time, ongoing basis without current or future needs for sponsorship. | 3.5 | Central California Alliance for Health
3.5 | Scotts Valley, CA | Scotts Valley, CA | 501 to 1000 employees | 1,996 | Nonprofit Organization | Health Care Services & Hospitals | Health Care | $500 million to $1 billion (USD) | -1 | 0 | 0 | 42 | 86 | 64 | Central California Alliance for Health
| CA | 1 | 24 | 0 | 0 | 0 | 0 | 0 |
Lead Data Analyst | $32K-$62K (Glassdoor est.) | JOB DESCRIPTION:
Signpost is looking for a Lead Data Analyst to join our team! This is a senior position reporting to the Senior Director of Data and Architecture who will work closely with Sales Operations, Customer Service Operations, and Finance.
Signpost is a rapidly growing startup that helps local businesses succeed by automating as much of their marketing as we can. We're solving a big problem in a huge market and we're backed by some of the smartest investors out there, including High Bar Partners, Georgian Partners, Google Ventures and Spark Capital. We need talented, passionate and disciplined leaders who are looking for a challenge worthy of them at a place where they can learn, grow, and have real ownership.
Our people are our most important asset, and we're assembling a team of strategic and critical thinking power houses that can work directly with our executive team on business operations, strategy and data analysis.
Who you are:
Obsessed with driving business insights from data
Can develop strategies and the roadmap to get us there
Are looking for a job that is high impact and fast paced and gives you exposure across the entire company
Want to contribute as a visionary, working with sales, account management, product management, engineering, and finance on delivering long-term results and solutions
What you'll do:
Set up process to track, monitor and analyze the key drivers of the business
Regular reporting of leading and lagging indicators against targets
Develop insights and recommend actions
Conduct deep dive analytical projects based on insights
Track and report on company KPI's vs. financial plan
Communicate financial trends with Executives and relevant stakeholders
Develop materials for Board of Director meetings
Drive productivity enhancements and efficiencies in our revenue organization
Develop and maintain variable compensation plans
Project manage process improvement initiatives
Collaborate with other departments (finance, marketing, engineering, product, etc.) to optimize processes
You should have:
Exceptional data modeling and SQL skills
4+ years of strategy consulting, investment banking, or start-up operations experience
Top tier undergrad degree
Ability to derive insight and conclusions from complex datasets
Action-oriented, self-starter with a strong work ethic
Strong communication, presentation and problem solving skills
Track record of outstanding results at your former employers | 3.9 | Signpost
3.9 | New York, NY | New York, NY | 201 to 500 employees | 2,010 | Company - Private | Internet | Information Technology | $10 to $25 million (USD) | -1 | 0 | 0 | 32 | 62 | 47 | Signpost
| NY | 1 | 10 | 0 | 0 | 1 | 0 | 0 |
Data Science Engineer - Mobile | $116K-$208K (Glassdoor est.) | Mobile is a top strategic priority for Adobe. Digital Media GTM Data Science and Analytics team is looking for Data Science Engineer - Mobile, who is the full-stack data specialist and can help us build scalable data platform, pipeline, and analytics solutions that will drive the success of our Mobile business across Creative & Document Cloud businesses across customer journey from acquisition, engagement, to retention.
This is a fast-paced business environment that will draw on your excellent communication skills, your ability to multi-task and perform under pressure, your superior data analytics & engineering skills and able to work in a team environment. Candidate needs to be very organized, have a ‘can do’ attitude, and have an internal strong sense of urgency.
A successful Data Scientist Engineer - Mobile contributes to the achievement of the Digital Media Go-To Market objectives by:
Architect, build, and maintain scalable data pipeline for our reports, dashboard, analytics solution, and data products e.g. scalable Machine Learning etc.
Build, architect, and maintain data models/data marts for Digital Media GTM
Partner with various business partners, business analysts, and data scientists to understand metrics, critical metric, and analytics need to define data needs.
Partner with data scientists and data science teams to build predictive, forecasting, and prescriptive model to tackle critical business challenges
Partner with business analysts and data scientist to drive business insights and recommendation through reliable recurring reports, dashboard, and in-depth analytics
Be a data specialist that owns data quality. Monitor, QA, maintain pipeline, and other data engineering/science team to validate data flow and ensure data quality
Work with data infrastructure to triage infra issues and drive to resolution.
What is needed to succeed!
3 - 5 yrs of experience with a BA/BS in Computer Science, Engineering, Mathematics or other technical fields. Master is preferred
Experience in building and maintaining large data pipeline, data warehouse, and complex reporting/analytics solution
A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive / Hadoop experience preferred)
Experience with Hadoop and related technology stack such as Hive, Oozie, Pig etc.
Experience with Data warehouse design and dimensional modeling
Experience in driving analysis and business insights out of complex large data environments to solve business problems
Experience in Data Visualization tools, preferably, Tableau and Power BI
Experience and ability to QA multiple data sources
Experience with programming language such as Python, Java, etc.
Preferred Skills!
Experience building Machine Learning, Data Science, and statistical models
Experience in Mobile SaaS analytics on iOS or Android. Proven familiarity with in-app purchase mechanisms on either platform
Experience with third party mobile analytics platforms/tools e.g. Branch, App Annie, Apple App Store Connect, Google Play Console etc. is a plus
Experience/Knowledge in a SaaS or Subscription Business model environment
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status. | 4 | Adobe
4.0 | San Jose, CA | San Jose, CA | 10000+ employees | 1,982 | Company - Public | Computer Hardware & Software | Information Technology | $5 to $10 billion (USD) | Apple, Microsoft | 0 | 0 | 116 | 208 | 162 | Adobe
| CA | 1 | 38 | 1 | 0 | 0 | 0 | 1 |
Senior Data Scientist Oncology | $107K-$173K (Glassdoor est.) | At AstraZeneca we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a passion for discovery and a pipeline to show for it. Were pioneering innovative research and exploring novel pathways across key therapeutic areas including oncology, respiratory, inflammation and autoimmunity, cardiovascular and metabolic disease, and infection and vaccines. And were industry-leading in immunology, protein engineering and translational science. We offer a unique and strong collaborative network as together we explore synergies between small and large molecules.
AstraZeneca has a dynamic environment that fosters collaboration and innovation. We attract top minds, and we nurture and build top talent.
Those who join AstraZeneca feel a sense of ownership about their future. They thrive with a recognized leader in the industry. AstraZeneca is an agile, fast-moving and emerging industry leader in oncology. We are a nimble organization that values smart risk-takers.
With AstraZeneca, you will be applying a creative approach to science while being at the forefront of a strong and rich pipeline of cutting-edge medicines. Here, you will join passionate professionals who advance science, technology and medicine to develop products designed to help people live better lives. You will excel in an environment characterized by respect, integrity and growth opportunities.
Our Oncology Pipeline
Our robust pipeline includes investigational therapies in varied stages of clinical development, from recently approved products to earlier-stage molecules in clinical trials. We aspire to transform the lives of cancer patients, working to eliminate cancer as a cause of death in the future.
Sr. Data Scientist, Oncology
The Machine Learning and AI team in AstraZenecas Oncology Data Science group is where we develop and apply sophisticated algorithms and techniques to solve the hardest problems in oncology drug discovery and development. The team uses their scientific, quantitative, and problem-solving skills to work on a broad range of challenges across the whole oncology portfolio, working collaboratively with other scientists across a range of disciplines to scope, define, and deliver projects that both advance the state of the art in data science and accelerate the delivery of innovative medicines to patients.
NOTE: This position can be filled in either GAITHERSBURG MARYLAND OR WALTHAM, MASSACHUSETTS
As a Senior Data Scientist you will play a key role on the front line in this rapidly growing team working to extract insight from complex biomedical data. You will develop your leadership skills and apply and develop your expertise in rigorous quantitative data science to provide solutions to a variety of data science problems, researching, recommending and delivering novel methodologies to solve the problems that matter to the oncology pipeline.
Examples of projects the team works on include developing machine learning models for digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyse wearable data, linking of medical imaging data with omics and longitudinal outcomes to identify and/or validate new drug targets, and much more!
The level of the position will be determined by the candidates experience, skills and education.
Typical Accountabilities
For our Sr. Data Scientist you will typically be accountable for:
Providing advanced data science and machine learning expertise to AstraZeneca projects, researching and recommending data science solutions, and appropriately communicating with non-technical stakeholders.
Collaborating in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.
Publishing your work to ensure that AstraZeneca drives the data science agenda in the pharmaceutical industry.
Education, Qualifications, Skills and Experience
Essential for our Sr. Data Scientist
MSc degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Practical software development skills in standard data science tools (such as R or python)
Knowledge of range of mathematical and statistical modelling techniques, and drive to continue to learn and develop these skills.
Desirable
PhD degree in rigorous quantitative science (such as mathematics, computer science, engineering)
Experience within the pharmaceutical industry
Outstanding communication, business analysis and consultancy | 3.9 | AstraZeneca
3.9 | Gaithersburg, MD | Cambridge, United Kingdom | 10000+ employees | 1,913 | Company - Public | Biotech & Pharmaceuticals | Biotech & Pharmaceuticals | $10+ billion (USD) | Roche, GlaxoSmithKline, Novartis | 0 | 0 | 107 | 173 | 140 | AstraZeneca
| MD | 0 | 107 | 1 | 0 | 0 | 0 | 1 |