Hebrew SeniorLife

  • Post-Doctoral Research Fellow - Palliative Care Research

    Job Locations US-MA-Roslindale
    Job ID
  • Overview

    A two-year postdoctoral fellowship opportunity is available at the Hebrew SeniorLife Hinda and Arthur Marcus Institute for Aging Research, an affiliate of Harvard Medical School, in its Center for Palliative Care Research in Aging. Under the supervision of Harvard Medical School faculty,

    the fellow will have an opportunity to conduct patient-oriented (e.g., clinical trials) and database research (e.g., analysis of existing datasets) related to older populations with advanced illness


    The main research areas are as follows:


    • Examine decision-making, management and health/palliative outcomes of nursing home residents using primary data collected from clinical trials
    • Measurement of health and palliative care outcomes in patients with dementia using claims data and routine healthcare databases.
    • Conduct literature syntheses and methodology papers related to the conduct of pragmatic clinical trials in older persons


    MD, PhD or equivalent degree is required.



    The fellow will be involved, under the mentorship and supervision of Harvard Medical School faculty, in carrying out analysis of existing clinical trial and administrative datasets by writing research protocols, conducting the analysis, interpreting the results, and preparing manuscripts within the 3 major research areas outlined above. It is expected that the fellow will pursue an academic research-oriented career in aging research by applying for various funding opportunities. Throughout the fellowship, the fellow will be mentored by Dr. Mitchell and other Harvard Medical School faculty for career development.


    • MD or PhD or equivalent in medicine, epidemiology, gerontology, and other related health sciences.
    • Commitment to pursue an academic research-oriented career in aging research.
    • Track record in aging/palliative research, evidenced by peer-reviewed original publications.
    • Experience with a statistical software (Stata, R, or SAS).
    • Self-motivated and goal-driven individual who can work independently and in a team.
    • Superb organization and multi-tasking skills.
    • Excellent oral and written communication skills.


    We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We strongly encourage both women and minorities to apply.


    Please submit CV, a brief statement of research interests (1 page maximum), and one writing sample (publication) to: IFARcareers@hsl.harvard.edu .



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