This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II. In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. - Emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems. - Mentors data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists. - Opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives. - Leads analytic contributions to new business efforts and manages complex workstreams. Work Location: NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices. Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings. Responsibilities - Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms. - Manage major project workstreams including advanced analytic work. - Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations. - Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data. - Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms. - Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets. - Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows. - Serve as a technical lead and mentor to data analysts and data scientists. - Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions. Qualifications - Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field. - At least 9 years of relevant experience (or 12 years with a Bachelor’s degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling. - Demonstrated experience leading project teams or teams conducting substantial workstreams on larger projects. - Demonstrated experience working with Medicare and/or Medicaid administrative or claims data. - Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC). - Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences. - Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position. Requirements - Strongly Preferred Qualifications: - Master’s degree or higher in a relevant field. - Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation. - Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR). - Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data. - Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments. - Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work. Benefits - The pay range for this position is $160,000 - $200,000. - This position is classified as regular. Regular staff are eligible for NORC’s comprehensive benefits program. - Generously subsidized health insurance, effective on the first day of employment. - Dental and vision insurance. - A defined contribution retirement program, along with a separate voluntary 403(b) retirement program. - Group life insurance, long-term and short-term disability insurance. - Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). - This role is bonus eligible. Bonus payment is contingent upon program terms and individual performance. EEO Statement NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

AIR is seeking a Data Scientist Associate to support applied research, evaluation, and technical assistance projects within the Learning Supports program. This role will contribute to data-driven work focused on improving K–12 educational systems, including high-quality instruction and intervention, educator effectiveness, STEM education, and special education. The Data Scientist Associate will support projects by building data pipelines and cloud-based applications, conducting quantitative and qualitative analyses, developing visualizations and reports, and ensuring data quality and reproducibility across studies. The Data Scientist Associate will join AIR’s Learning Supports program, which conducts research, evaluation, and implementation support for federal and state agencies, school districts, and foundations. The program produces rigorous evidence and practical tools to inform policy and practice, helping ensure early and equitable access to learning and the supports children and families need to succeed. This position has the flexibility to work remotely within the United States (U.S.) or from one of AIR’s U.S. office locations. This does not include U.S. territories. About AIR: Founded in 1946 and headquartered in Arlington, Virginia, the American Institutes for Research (AIR) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for all. Responsibilities: - Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools. - Develop visualizations, dashboards, and reports using open-source and/or business intelligence tools. - Support efforts to collect, compile, validate, interpret, and analyze data using standard practices and techniques. - Assist with computer modeling and simple to moderately complex forecasting using standard software packages. - Contribute to quantitative and/or qualitative analysis using standard techniques and methods. Work independently and collaboratively on moderately complex assignments under indirect supervision. - Create replicable, well-documented code in a shared environment. - Coordinate project support needs and requests from senior management and clients. - Develop systems to maintain and verify the accuracy of data for assigned projects. - Utilize external resources to supplement, organize, and contribute to tasks and projects. - Present and occasionally support or organize content for internal and external meetings. - Stay current on emerging technologies and provide recommendations for research applications. - Review and optimize code written by others. - Provide innovative and appropriate solutions to complex problems. Qualifications: Education, Knowledge, and Experience - A Bachelor’s degree in a field with computer science emphasis (e.g., Data Science, Data Engineering, Computer Science) with a minimum of 2 years’ experience or a master’s degree in a field with computer science emphasis (e.g., Data Science, Data Engineering, Computer Science) Python programming Experience with database software (e.g., MySQL, MS SQL Server). - Experience with generative AI tools and applications for use Interest in exploring and developing new tools for data applications Experience with Python web frameworks – Django, flask is preferred, but not required. - Experience with statistical packages like R or SAS is preferred but not required. Skills - Effective communication skills with the ability to collaborate efficiently in a virtual work environment. - Excellent organizational and time management skills. - Comfortable with solution-focused problem solving and thinking through problems creatively. - Adept in a fast-paced environment to manage multiple concurrent deliveries. - Demonstrated analytical, critical thinking, and problem-solving skills. Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.orgor call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out torecruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-AS1 #LI-REMOTE AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Hourly Rate Range $45—$60 USD

Manager, Clinical Data Science & Data Products (Applied AI) Location: U.S. Remote (with optional hybrid in a major metro)Type: Full-timeLevel: Mid–Senior (people manager / player-coach) Beacon Talent is conducting a confidential search for a venture-backed company building an applied AI + data platform used in regulated healthcare environments. The company helps technical teams access, standardize, and validate complex clinical datasets so they can develop and evaluate AI responsibly. The Role You will lead a small team responsible for turning raw clinical data into analysis- and model-ready datasets that are reliable, well-documented, and usable by both internal teams and external partners. This role blends people leadership, hands-on technical work, and program ownership across multiple concurrent data initiatives. What You’ll Do Lead delivery of clinical data products - Own dataset buildouts end-to-end: intake → profiling → transformation → validation → packaging → release. - Translate ambiguous requests into clear scopes, success criteria, milestones, and delivery plans. Manage and grow a high-performing team - Coach, develop, and support a team of data scientists/analysts; set expectations and maintain quality bars. - Hire and onboard as the team scales; establish repeatable workflows (reviews, documentation standards, runbooks). Build scalable, harmonized data foundations - Design and maintain curated clinical data layers that support repeatable analytics and ML workflows (not one-off extracts). - Partner with Engineering to productionize pipelines and implement safeguards around quality, lineage, and access controls. Work across diverse healthcare sources - Investigate and operationalize new sources as they come online (e.g., EHR extracts, claims-like feeds, clinical text, imaging metadata, device/monitoring outputs). - Ensure data integrity through profiling, anomaly detection, reconciliation, and rigorous QA. Be a technical partner to customer-facing teams - Support stakeholder communication on delivery status, limitations, and data interpretation in a clear, accessible way. - Contribute to playbooks and reusable artifacts that make delivery faster over time. What Success Looks Like - Datasets ship on time with predictable quality, strong documentation, and minimal rework. - Your team runs a consistent process for intake, transformation, validation, and release. - Internal stakeholders trust the data layers as “source of truth” for downstream analysis and product development. Qualifications Required - Experience leading teams (formal or informal), with strong project management instincts in technical environments. - Deep hands-on experience with healthcare data (EHR, claims, registries, clinical research datasets, etc.). - Strong proficiency in SQL and at least one analytics language (typically Python). - Demonstrated ability to communicate both detailed technical tradeoffs and executive-level summaries. - Strong writing/documentation skills and a quality-first mindset in regulated data contexts. Nice to have - Familiarity with common health data standards/terminologies (e.g., FHIR/HL7 concepts, ICD/CPT/LOINC/SNOMED-style vocabularies). - Experience with modern transformation tooling (e.g., dbt-like workflows), version control, and cloud data stacks. - Exposure to clinical NLP, imaging (DICOM ecosystems), or common data models (e.g., OMOP-style structures). - Startup/early-stage experience where priorities shift and you build process as you go. Working Style & Logistics - Fast-paced, iterative environment; emphasis on learning, experimentation, and continuous improvement. - Occasional in-person team gatherings (typically quarterly). Compensation Competitive base + equity + benefits (details shared during the process).

• This is a remote position. • At FlexiSAF, we are passionate about reinventing learning, nurturing talent, and inspiring individuals to make positive career decisions. • Our Generative AI and Data Science program is designed to nurture the next generation of AI talents who will drive innovation and opportunities. • It is designed to equip participants with the skills required to excel in this dynamic field. • Accepted Participants will learn based on a self-study approach, carry out tasks and complete projects in line with a well-structured and curated Internship Program Curriculum and resources which we provide to you at no cost, their progress will be monitored and supervised throughout the cohort to ensure that you remain on track and accountable. • During the program, you will learn alongside innovative and inspiring leaders through mentorship and gain valuable experience working on real-life solutions while also acquiring some work-ready, soft-skills along the way.