Quantitative Researcher, Health Innovations

About the position Join AIR as a Quantitative Researcher with our Health Innovations team. Our team works collaboratively to unravel the intertwined challenges of health care quality, costs, and access. Our team of experts – nurses, physicians, psychologists, economists, sociologists, data scientists, and public health experts – advance evidence and save lives by leading rigorous research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools. 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

• Lead or contribute to the design and execution of rigorous research and evaluation projects
• Apply appropriate quantitative methods to collect, manage, analyze, and interpret data.
• Translate complex findings into clear, actionable insights and recommendations for client reports, technical memos, and presentations.
• Support proposal development through writing technical sections, developing budgets, and contributing to proposal strategy.
• Manage small to mid-sized tasks or project components, including planning timelines, tracking deliverables, and liaising with clients while maintaining positive and collaborative relationships.
• Mentor and guide junior staff through regular feedback, training, and modeling of research best practices.
• Engage with stakeholders and partners through meetings, briefings, and dissemination activities
• Contribute to a collaborative environment that values and respects a wide range of perspectives, abilities, backgrounds, and experiences.

Requirements

• PhD in a relevant field (e.g., Economics, Statistics, Public Policy, Public Health, Human Development, Political Science, Psychology, Sociology, or a related discipline), or a Master’s degree with at least four years of quantitative research experience
• Experience conducting applied quantitative health research or analytics, particularly using Medicare beneficiary, provider, and claims data
• Experience working with large datasets, particularly administrative or health-related data (e.g., claims, enrollment, provider, or survey data)
• Experience collaborating with cross-functional teams (e.g., programmers, analysts, policy staff) and contributing to or coordinating analytic workflows
• Experience interpreting analytic results and contributing to reports, briefs, or presentations that inform program, policy, or operational decisions
• Experience working on research or evaluation projects for federal, state, or local agencies or other public or nonprofit entities
• Strong quantitative and data analysis skills, including experience with statistical and data tools such as SAS, SQL, Stata, R, or similar software
• Ability to document analytic methods, conduct data quality checks, and support reproducible research practices
• Excellent communication skills, with an ability to convey complex information , a nd collaborate efficiently in a virtual work environment
• Ability to manage multiple tasks and deadlines independently while contributing to a collaborative team environment
• Proven ability to coach junior staff and foster inclusive team dynamics.
• Strong organizational and time management skills
• Attention to detail and commitment to accuracy in data analysis and report writing
• Applicants must be currently authorized to work in the U.S. on a full-time basis.
• Depending on project work, qualified candidates may need to meet certain residency requirements.

Nice-to-haves

• Familiarity with CMS, Medicare, Medicaid, or other federal health programs preferred, but not required

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