Postdoctoral Research Fellow; HPI

Position: Postdoctoral Research Fellow (HPI)
Who We Are

Point
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Health is a leading not-for-profit health and well-being organization dedicated to delivering high-quality, affordable healthcare. Serving nearly 2 million members, Point
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Health builds on the legacy of Harvard Pilgrim Health Care and Tufts Health Plan to provide access to care and empower healthier lives for everyone. Our culture revolves around being a community of care and having shared values that guide our behaviors and decisions. We've had a long-standing commitment to inclusion and equal healthcare access and outcomes, regardless of background; it's at the core of who we are.

We value the rich mix of backgrounds, perspectives, and experiences of all of our colleagues, which helps us to provide service with empathy and better understand and meet the needs of the communities where we serve, live, and work.

We enjoy the important work we do every day in service to our members, partners, colleagues and communities. Learn more about who we are at Point
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Health.

Job Summary

The Department of Population Medicine (DPM) at Harvard Medical School and Harvard Pilgrim Health Care Institute (HPHCI) 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.

The Division of Health Policy and Insurance Research (HPI) is one of five divisions within DPM. Our researchers apply state-of-the-art quasi-experimental and other research methods to study pressing health policy questions. We have extensive experience in curating and using electronic health system data including health insurance claims, medical records, and surveys. HPI areas of interest include public and private health insurance, delivery systems, pharmaceuticals, and maternal health policies, and a wide range of disease areas (e.g., diabetes, mental health, cancer).

HPHCI is part of Point
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Health.

The Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute is currently seeking a Postdoctoral Fellow to help implement and lead health policy research. The Postdoctoral Fellow will participate in studies that evaluate the effects of Medicaid policies and health care delivery models on access to and quality of care, with a focus on maternal and child health.

Expertise in quasi-experimental, econometric, or causal inference methods is required. Must be proficient in Stata and/or SAS. Experience or interest in maternal health, Medicaid policy, and/or safety-net health systems is strongly preferred. The candidate will work under the supervision of Dr. Megan Cole Brahim.

The post-doctoral fellow will play a key role in the day-to-day research activities of grant-funded projects. They will work with a multidisciplinary research team made up of clinicians, health services researchers, health economists, social epidemiologists, and biostatisticians, in collaboration with other academic institutions and state and health system partners.

The post-doctoral fellow will also participate in the Health Policy and Insurance Research (HPI) Fellowship Program, which trains clinician-researchers, medical and PhD students, and post-doctoral researchers to develop evidence for health policy.

CV and cover letter required. Please do so by uploading it as an additional document under the "Resume/CV" upload link".

Application review will begin November 3rd- applications received by this date will receive priority. Start date flexible - between January 2026 and July 2026.

Job Requirements

* CV and cover letter required, please do so by uploading it as an additional document under the "Resume/CV" upload link".

* Doctoral degree (e.g., PhD, DrPH, MD, or equivalent) in Health Services Research, Health Policy, Economics, Public Health, or related field

* Quantitative analytical skills and experience analyzing large data sets

* Experience implementing quasi-experimental, econometric, and/or causal inference methods

* Proficiency in at least one statistical programming language (e.g., Stata, SAS)

* Content expertise or strong interest in Medicaid policy, maternal health, and/or safety-net health systems

* Experience using claims data preferred

* At least one first author publication preferred

* Excellent written and oral communication skills

* Highly organized and detail oriented

* Self-motivated and able to work well independently, while also working well with teams

Job Description

* Contribute to the creation of analytic data sets using large, complex data from multiple sources, such as claims data (All Payer Claims Data, CMS Medicaid TAF data) and EHR data

* Lead the…