Research Data Scientist
About The Position
The Leonard D. Schaeffer Center for Health Policy & Economics is seeking a Research Data Scientist (HR title: Research Programmer II) to support cutting-edge health policy and economics research through advanced analytics, data infrastructure development, and project leadership. This role is part of a state-of-the-art data core and collaborates closely with principal investigators and a multidisciplinary research team. This is a full-time, one-year fixed term position (renewable) with a hybrid work arrangement. The mission of the Schaeffer Center is to measurably improve value in health through evidence-based policy solutions, research excellence, transformative education, and private- and public-sector engagement. This position offers the opportunity to contribute to work that has a meaningful impact on the transformation of health care and to apply advanced analytics to real-world policy questions using large-scale health care data.
Requirements
- MA/MS in statistics, data science, economics, applied mathematics, or related quantitative field (or equivalent combined education and work experience)
- 5+ years of experience with statistical programming (e.g., SAS, R, Python)
- Experience with administrative health care claims data (Medicare, Medicaid, or commercial)
- Experience with SQL, data warehouses (e.g., Snowflake), and cloud platforms (e.g., AWS)
- Demonstrated experience leading analytic efforts and contributing to research projects
- Strong problem-solving skills, with the ability to develop innovative solutions for complex data challenges
- Eligibility to work in the U.S. (no visa sponsorship available)
Nice To Haves
- Experience in health economics, health policy, public health, or similar discipline
- 7+ years of experience with statistical programming
- Experience with CMS secure environments (e.g., VRDC, IDR) and NIA LINKAGE.
- Experience leveraging AI-assisted tools to enhance coding, data analysis, and workflow efficiency, including iterative or semi-automated workflows
Responsibilities
- Lead and execute complex data analyses using large-scale health care data (e.g., Medicare, Medicaid, commercial claims)
- Design and build data pipelines, research tools, and analytic infrastructure
- Ensure data quality and reproducibility through rigorous quality assurance processes
- Manage projects, including timelines, deliverables, and coordination with cross-functional team members
- Supervise and mentor junior staff
- Translate complex data into actionable insights to support policy-relevant research
Benefits
- Excellent benefits and perks
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
