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Senior Quantitative Researcher – CMMI Evaluations

🏢 Americaninstitutesforresearch · 📍 US-Remote | US-VA-Arlington | US-NC-Chapel Hill | US-IL-Chicago | US-CA-Sacramento | US-TX-Austin · 💼 remote us 💰 $120,000 - $120,000 / yr
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Position Summary & Responsibilities

Join AIR as a Senior Quantitative Researcher – CMS Innovation Center (CMMI) Evaluations with our Healthcare 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 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:

  • Supports business development activities for CMS and CMMI, including capture planning, client engagement, opportunity shaping, proposal development, and strategic growth initiatives.
  • Serves in leadership roles (e.g. task or workstream lead, deputy project director) for complex evaluations of Medicare payment and service delivery models, ensuring task execution, quality of task deliverables, staffing, and client relationships.
🎯 Candidate Preparation Guide For Americaninstitutesforresearch Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assesses rigorous methodological precision, objective research integrity, and the ability to translate complex data science into actionable public policy.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Advancing a partisan agenda or showing bias in research interpretation.
  • 2. Prioritizing speed over empirical rigor and peer-reviewed validity.
  • 3. Inability to explain complex quantitative models to non-technical policymakers.
✨ Recommended Role Alignment Hook:

I combine rigorous statistical methodologies with clear policy communication to ensure research directly drives equitable societal outcomes.

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