americaninstitutesforresearch

Researcher, Healthcare Transformation

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At a Glance

Location
US-Remote
Work Regime
remote
Experience
4+ years
Posted
2026-02-19T06:44:25-05:00

Key Requirements

Required Skills

PythonSQL

Domain Knowledge

  • Education
  • Finance

Requirements

:

Education, Knowledge, and Experience

PhD in Economics, Finance, Public Policy, Public Administration, Public Health, or a related Master’s degree with 4+ years of relevant experience.

Demonstrated experience applying a range of statistical inference methods.

Experience developing and writing proposals for federal agencies.

Experience developing, implementing, and/or adapting quality measures for federal programs.

Compensation & Benefits

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.

$96,100

$128,100 USD

Responsibilities

Lead and support the development, adaptation, and implementation of quality measures.

Support the development of measure specifications.

Specify, oversee, and interpret descriptive and statistical analyses of large, complex datasets.

Interpret policy and regulations

Design and oversee the development of methodologies for the scoring of APM participants and adjustment of payments utilizing the quality measures, including the creation of benchmarks.

Clearly communicate methods, findings, and implications to diverse and technical policy audiences.

About the Company

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 and support the development, adaptation, and implementation of quality measures.

Support the development of measure specifications.

Specify, oversee, and interpret descriptive and statistical analyses of large, complex datasets.

Interpret policy and regulations