Postdoctoral Research Fellow

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Posted: 27-Jan-26

Location: New York, New York

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Academic/Faculty

Internal Number: 179377

The Departments of Environmental Health Sciences and Epidemiology at Columbia’s Mailman School of Public Health are looking to appoint multiple postdoctoral fellows to the NIH-funded program for Advanced Training in Environmental Health and Data Science: Molecules to Populations. These two-year appointments will start as early as January 1, 2026. Applicants must propose a plan of research in the broader fields of environmental health sciences and mechanisms of disease, environmental epidemiology, or impacts of extreme weather. Interdisciplinary proposals incorporating features related to the exposome, health and wellness across the life course and/or data science are particularly welcome. This is a broad announcement. We expect to appoint multiple fellows pursuing topics that span different components of the program.

Fellows in the program will be expected to obtain core competencies in environmental health, epidemiology, and data science, to conduct independent research of high impact, and to undertake further interdisciplinary training. All fellows will be appointed in either the Department of Environmental Health Sciences or the Department of Epidemiology and will be affiliated with the Data Science Institute (DSI) of Columbia University. Fellows will participate in seminars and workshops offered through the program, the departments and DSI in order to enhance their domain knowledge and advance their training. Further, fellows will receive training in team science and grant writing and will help coordinate interdisciplinary teams comprised of pre-doctoral and postdoctoral fellows in the program that support the integration of data science methods in research.

The Departments of Environmental Health Sciences and Epidemiology at the Columbia University Mailman School of Public Health foster innovative scholarship in toxicology, epigenetics, environmental epidemiology, lifecourse epidemiology and the impacts of extreme weather on human health. Current faculty research spans topics including cancer, neurodegeneration and aging, the exposome, nutrition and food security, children’s health, air pollution, extreme weather events, molecular epidemiology and epigenetics, endocrine disruptors and metals and health research. We welcome applicants with interests in these areas or in other topics within environmental health science, environmental epidemiology and climate and health.

Minimum Degree Required: Doctoral degree in Environmental Health, Epidemiology, or related field.

Minimum Qualifications: Fellows in the program will be expected to obtain core competencies in environmental health, epidemiology, and data science, to conduct independent research of high impact, and to undertake further interdisciplinary training.

These positions are supported by a National Institute for Environmental Health Sciences training grant and are limited to applicants who are US citizens or permanent residents. Information about the Departments of Environmental Health Sciences and Epidemiology is available at https://www.mailman.columbia.edu/academics/departments . Applicants are encouraged to contact potential faculty advisors of interest (see website for potential advisors) and to include a list of their names in the application.

Applications should include a cover letter, a 5-page research proposal, curriculum vitae, and the names of 3 references.  Interested applicants must apply through company website for consideration. 

Questions should be directed to Matt Perzanowski, Vice Chair for Education and Training, by email at mp2217@cumc.columbia.edu . 

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting.

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