Harvard University Post-Doctoral Fellow Clinical Epidemiology in Cambridge, Massachusetts


Title Post-Doctoral Fellow Clinical Epidemiology

School Harvard T.H. Chan School of Public Health

Department/Area Epidemiology

Position Description

The Department of Epidemiology at the Harvard T.H. Chan School of Public Health (HSPH) invites applications from candidates for a postdoctoral fellowship in Clinical Epidemiology.

The successful candidate will contribute to expanding the department’s role as a center for clinical epidemiologic research and training. Areas of interest include prognosis research and methods development, comparative-effectiveness research, patient-centered outcomes research, and evidence-based practice. The successful candidate will facilitate departmental engagement in these areas with similar efforts within the Harvard Chan School, Harvard Medical School, and Harvard teaching hospitals. He or she will be expected to conduct empirical research in clinical epidemiology and to participate actively in teaching and in the direction of training programs in this area.

Basic Qualifications

Candidates should preferably hold a medical degree, as well as graduate-level training in epidemiology or substantial experience with the application or development of epidemiologic methods in clinical research. The ideal candidate will have demonstrated excellence in research and teaching in the field of clinical epidemiology.

Additional Qualifications

Special Instructions

Contact Information

To apply, please send a research statement, CV, contact information for three references and one sample publication by email for Prof Albert Hofman, to Coppelia Liebenthal at cliebent@hsph.harvard.edu. Application will be considered as they arrive. Informal queries are welcome.

Contact Email cliebent@hsph.harvard.edu

Equal Opportunity Employer

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.

Minimum Number of References Required 3

Maximum Number of References Allowed

Supplemental Questions