Job Summary
The Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute is currently seeking a Postdoctoral Fellow. The postdoctoral fellow will work directly with Dr. Brittany Charlton and her team on NIH-funded research, specifically the final year of a project aimed at elucidating obstetrical and perinatal health disparities affecting sexual minorities and their offspring. This research leverages data from Harvard longitudinal cohort studies, including the Nurses’ Health Study and Growing Up Today Study.
The fellow will also have the opportunity to conduct research using the Department of Population Medicine’s unique data systems and linkages with health systems (e.g., administrative claims data and electronic health records). The postdoctoral fellow will be responsible for research activities, including developing analytical proposals, conducting data analysis, presenting at scientific meetings, and writing manuscripts. Applicants should have the ability to work independently and as part of a collaborative team. The fellow will be employed by the Harvard Pilgrim Health Care Institute and be appointed at Harvard Medical School.
The Department, School, and University provide a vibrant, interdisciplinary research environment with a wealth of resources to support career development. Fellows can take advantage of training, education, and mentorship opportunities at partner institutions, including the Harvard T.H. Chan School of Public Health, Brigham and Women’s Hospital, Mass General Hospital, Boston Children’s Hospital, Dana-Farber Cancer Institute, and Fenway Health.
Job Description
• Analyze large, complex data from multiple sources, including survey data.
• Make effective presentations of the analysis results to both technical and non-technical audiences.
• Prepare articles for peer-reviewed publications, as well as reports and presentations.
• Participate in team meetings to help shape the direction of the existing research projects.
• Develop new research ideas or help prepare proposals.
• Other duties and projects as assigned. Job
Requirements
• Doctoral degree, such as a PhD, MD, or equivalent in epidemiology, biostatistics, or related fields.
• Quantitative analytical skills and experience analyzing large data sets.
• Proficiency in at least one statistical programming language (SAS, STATA, R).
• At least one first-author publication.
• Excellent written and interpersonal communication skills.
• Ability to work independently and manage time effectively.
• Highly organized and detail oriented.
• Track record of, or strong potential for, independent funding.
Who We Are
The Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute is a research and teaching collaboration between Harvard Pilgrim Health Care and Harvard Medical School, and one of 15 Harvard Medical School affiliates. Our 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. As the nation’s first medical school appointing department based in a health plan, we are strategically positioned to improve population health and health care delivery locally, nationally, and internationally. Harvard Pilgrim Health Care Institute is part of Point32Health. Point32Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point32Health builds on the legacy of Harvard Pilgrim Health Care and Tufts Health Plan to provide access to care and empower healthier lives for everyone.
To Apply
Please submit a CV and cover letter to: Sarah Cohan, Sr. Program Manager, at Sarah_Cohan@populationmedicine.org Application review will occur on a rolling basis. Preference will be given to candidates who can start in March 2026. Funding is available through February 2027.
We Welcome All
All applicants are welcome and will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
