Quantitative Researcher, Healthcare Innovations

Join AIR as a Quantitative Researcher 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 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.

Qualifications:

Education, Knowledge, and Experience

• 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

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

Skills

• 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, and 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

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 age, race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability. 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 [email protected] 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 [email protected] is correct and [email protected] is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out [email protected]. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams.

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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