Health Care Affairs Research Fellow

Association of American Medical Colleges•Washington, DC
•Remote

About The Position

The part-time Research Fellow in the Health Care Affairs Cluster’s Data Analytics and Research team supports the health-system analytic needs of Health Care Affairs and the AAMC’s advocacy priorities. Under the supervision of senior team members, the fellow independently leads research projects, collects and interprets data, and presents findings orally and in writing to internal stakeholders, AAMC members, and policymakers. The fellowship is expected to result in at least one manuscript, co-authored with Health Care Affairs staff, ready for submission to a peer-reviewed journal. Research may address topics such as health economics, hospital finance, Medicare payment policies and adequacy, the value and impact of academic medicine, social determinants of health, quality-of-care measurement, medical innovation and payment policy, value-based care, and health-service utilization. The fellow conducts literature reviews, consults AAMC experts, applies for IRB approval, conducts or assists with statistical analysis, and produces tables, graphs, and other visualizations. The role includes developing presentations for varied audiences, presenting at relevant seminars, symposia, conferences, and internal meetings, and representing the AAMC in meetings with other associations, members, and at public meetings. The fellow also collects and reports data in accordance with AAMC, federal, and IRB policies and procedures and serves as Data Steward for collected data. This position requires 20 hours of work per week and pays $30.14 per hour. It is eligible for remote work only within the Washington, DC/Baltimore metro area.

Requirements

  • Bachelor’s degree in statistics, economics, epidemiology, health services research, public health, or a related quantitative discipline.
  • Currently enrolled in a degree-granting graduate-level education program in public health, economics, public policy, another social science field, or be a medical resident through May 2027 or later.
  • One to two years of related work experience.
  • Ability to work 20 hours per week.

Nice To Haves

  • Enrollment in a PhD program in public health, economics, public policy, or another social science field, or medical residency through May 2027 or later.
  • Extensive experience with de-identified claims or other clinical data, hospital and physician survey data, Medicare hospital cost reports, and Medicare public use files.
  • At least one to two years of experience analyzing large datasets.
  • Working knowledge of Medicare payment and quality systems and hospital payment.
  • Experience using R, SAS, STATA, or other statistical software.
  • Expertise collecting and reporting survey data, especially in health care.
  • Qualitative research skills and mapping experience.

Responsibilities

  • Identify and analyze timely, topical data sources for presentations and publication in AAMC priority areas.
  • Independently execute research projects, including literature reviews, consultation with AAMC experts, IRB applications, statistical analysis, and creation of tables, graphs, and other visualizations.
  • Ensure research activities comply with AAMC and applicable federal or IRB policies and procedures.
  • Prepare and deliver presentations of findings to different audiences, including at seminars, symposia, conferences, and internal AAMC meetings.
  • Represent the AAMC and its health care concerns in meetings with associations, members, and at public meetings; participate in speaker panels and present at conferences.
  • Collect relevant information from datasets such as de-identified claims data, hospital and physician surveys, Medicare hospital cost reports, and Medicare public use files.
  • Report collected data in compliance with AAMC and applicable federal or IRB policies and procedures, and serve as Data Steward for the collected data.
  • Produce at least one manuscript, co-authored with Health Care Affairs staff, ready for submission to a peer-reviewed journal.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service