Postdoctoral Positions in the Ivan and Francesca Berkowitz Family Living Laboratory at HMS

The Ivan and Francesca Berkowitz Family Living Laboratory at Harvard Medical School (HMS) invites exceptional applicants for its Berkowitz Postdoctoral Fellows program. We seek outstanding and highly motivated early-career scientists in the field of precision medicine, spanning a broad range of expertise from genomics to clinical data science and machine learning. 

Fellows will have the opportunity to work with HMS Department of Biomedical Informatics (DBMI) faculty on interdisciplinary precision medicine research in collaboration with our partners The Ivan and Francesca Berkowitz Family Precision Medicine Clinic at Clalit Research Institute (CRI) in Israel. Fellows will be based in Boston and will have the opportunity to spend time working on-site at CRI in Israel.

Fellows will hold the academic rank of Postdoctoral Research Fellow in the Department of Biomedical Informatics at Harvard Medical School, and be provided a competitive salary, standard benefits and travel stipend. Appointments are anticipated for two years, with renewal after the first year contingent upon satisfactory performance.

This program provides a unique opportunity for Berkowitz Postdoctoral Fellows to:

  • Pursue broad interdisciplinary research with scientific, medical, technological, and clinical dimensions;
  • Engage in translational research with a broad impact.

We are specifically interested in individuals with previous experience in biomedical informatics, computer science, statistics, epidemiology, and “the exposome.” Publications in leading journals and completion of a doctoral degree in a relevant scientific field before the start date are required.

Applications are welcome. Please send the following to

  • Cover Letter
  • CV with complete publication list
  • PDFs of three selected publications
  • Two Letters of Recommendation

HMS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.