Post-doctoral Research Fellowship in Pharmacoepidemiology and Real-world Evidence

The Division of Therapeutics Research and Infectious Disease Epidemiology (TIDE) in the Department of Population Medicine (DPM) at Harvard Medical School and Harvard Pilgrim Health Care Institute is the home of several large, complex, multi-institutional research initiatives using real-world data (RWD) and distributed analytic approaches to support major national public health activities in collaboration with federal and industry funders. Its mission is to improve health care delivery and population health through research and education, in partnership with health plans, delivery systems, and public health agencies.

TIDE is seeking a qualified and motivated Research Fellow to join the team for our Post-doctoral Research Fellowship in Pharmacoepidemiology and Real-world Evidence beginning in 2024.


The Research Fellow will perform research under the guidance of Darren Toh, ScD, DPM Endowed Professor and Associate Director of TIDE, and other faculty members and research scientists. The Fellow will have the opportunity to lead and participate in a wide range of comparative effectiveness and safety research studies and public health surveillance projects, including NIH-funded and AHRQ-funded projects, FDA-funded Sentinel program (, and other federally and industry-funded projects. These projects leverage multiple real-world data (RWD) sources, including administrative claims databases and electronic health record (EHR) databases, available in-house or through distributed data networks. Specific projects will be determined based on the Fellow’s background and interests. Additionally, the Fellow will have an opportunity to participate in other activities, including grant preparation activities (e.g., writing research plans, supporting budget preparation, and submitting IRB applications) and journal review and editorial activities.

The Fellow will receive one-on-one, team, and peer mentoring. The Fellow will have dedicated workspace, computing resources, access to biostatistics support as needed, and to libraries and other resources of Harvard University. The Fellow may also attend selected advanced methods training courses and seminars at schools within and outside of Harvard University.


  1. Doctoral degree, such as an MD, PhD, or ScD, or in final stage of doctoral program in pharmacoepidemiology, epidemiology, biostatistics, bioinformatics, or related field.
  2. Advanced knowledge of epidemiologic methods and biostatistics.
  3. Familiarity with commonly used RWD sources, including claims and EHR databases.
  4. Familiarity with statistical software and programming languages, such as SAS, R, and Python.
  5. Strong written and interpersonal communication skills.
  6. Ability to work independently, manage time effectively, and meet project deadlines.


Interested candidates should submit the following materials electronically to

  • An up-to-date curriculum vitae.
  • A cover letter describing your rationale and goals for the fellowship and how it would contribute to your short-term and longer-term career goals.

Applications will be reviewed as they are received. Fellowship start dates are flexible. Applicants will be notified when an application has been reviewed. For further information, please email or Lindsey Petro.