About the role

Join AIR as a Researcher focused on Medicaid policy and programs with our Healthcare Innovations team. Our team works collaboratively to address complex challenges related to Medicaid coverage, care delivery, cost containment, and health equity, supporting federal and state partners in improving outcomes for low‑income and medically vulnerable populations.

Our multidisciplinary team—including economists, data scientists, public health experts, clinicians, and policy researchers—advances evidence through rigorous research and evaluation, results‑driven technical assistance, and applied analytics. This role will contribute directly to studies that inform Medicaid policy design, program evaluation, and system transformation.

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 Medicaid‑focused research and evaluation projects, including policy analyses, demonstrations, and program evaluations.
Apply appropriate quantitative methods to collect, manage, analyze, and interpret Medicaid administrative data, such as claims, encounters, enrollment, eligibility, and provider data.
Conduct analyses that examine Medicaid utilization, access, quality, cost, and equity outcomes across populations and delivery systems.
Translate complex analytic findings into clear, actionable insights for state and federal Medicaid stakeholders, including client reports, technical memoranda, and presentations.
Support proposal development for Medicaid‑related work by writing technical sections, contributing to analytic approaches, and supporting proposal strategy.
Manage small to mid‑sized project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with internal teams and external clients.
Collaborate closely with programmers, data scientists, policy staff, and project leadership to ensure analytic rigor and alignment with policy objectives.
Mentor and guide junior staff through feedback, training, and modeling best practices in quantitative and Medicaid policy research.
Engage with Medicaid stakeholders through meetings, briefings, and dissemination activities.
Contribute to a collaborative and inclusive work environment.

Qualifications:

Education, Knowledge, and Experience

PhD in a relevant field (e.g., Economics, Public Policy, Health Services Research, Statistics, Public Health, Sociology, Political Science, or a related discipline), or a Master’s degree with at least four years of quantitative research experience.
Demonstrated experience conducting applied quantitative research related to Medicaid, public insurance, or safety‑net health programs.
Experience working with large‑scale administrative health data, particularly Medicaid claims, encounters, enrollment, eligibility, or provider files.
Experience interpreting analytic results and contributing to reports, briefs, or presentations that inform Medicaid program or policy decisions.
Experience working on research, evaluation, or technical assistance projects for federal or state Medicaid agencies, CMS, or other public or nonprofit entities.
Experience collaborating with cross‑functional teams, including programmers, analysts, and policy experts.
Familiarity with CMS data sources, Medicaid and Medicare programs, waiver demonstrations (e.g., 1115 waivers), or value‑based payment models preferred, but not required.

Skills

Strong quantitative and data analysis skills, including experience with statistical and data tools such as SAS, SQL, Stata, R, Python, or similar software.
Ability to document analytic methods, conduct data quality checks, and support reproducible research practices.
Strong understanding of Medicaid data structures, program rules, and policy context, or demonstrated ability to learn them quickly.
Excellent communication skills, with the ability to convey complex Medicaid‑related findings to technical and non‑technical audiences.
Ability to manage multiple tasks and deadlines independently while contributing effectively in a collaborative, virtual team environment.
Proven ability to coach and mentor junior staff and foster inclusive team dynamics.
Strong organizational skills, attention to detail, and commitment to accuracy in data analysis and reporting.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.

ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@air.org or call 202.403.5000.

Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example jdoe@air.org is correct and jdoe@aircareers.org is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to recruitment@air.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

#LI-AS1 #LI-REMOTE

AIR’s Total Rewards Program, 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.

Anticipated Annual Salary Range

$96,100—$128,100 USD

Skills & Tags

python go ai data analytics design

Aplyr's read

American Institutes for Research is a nonprofit organization focused on behavioral and social science research, employing experts in diverse fields to tackle complex societal issues.
Synthesized from recent postings & public sources

What's promising

•Strong focus on impactful research in education, health, and workforce development.
•Opportunities to work on diverse projects with real-world implications.
•Collaborative environment with multidisciplinary teams bringing varied expertise.

What to watch