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Senior Systems Programmer, Healthcare Innovations

american institutes for research·US·United States·senior
data science
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Join AIR as a Senior Systems Programmer and use your experience and expertise to help us deliver on our mission: to generate and use rigorous evidence that contributes to a better, more equitable world for all. This position will help drive innovation in data science, architect scalable programming solutions, and influence strategic decisions across AIR’s health portfolio. The Senior Systems Programmer will report to AIR's Healthcare Innovations Team, which supports high-quality implementation and produces rigorous evidence on the effectiveness of new approaches to care and payment—translating findings into actionable insights for policymakers, payers, providers, and patients. 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. for the position may work remotely within the United States (U.S.) or from one of our 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: The responsibilities for the position include: Lead and support the design, development, and implementation of advanced programming solutions for large-scale health research and evaluation projects. Oversee data management workflows, including data extraction, transformation, validation, and integration from multiple sources (e.g., claims, EHR, survey data). Develop and optimize reusable code libraries, macros, and templates to improve efficiency and consistency across projects. Conduct complex statistical analyses and generate high-qualit

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