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Post-doctoral Fellow in Health Sciences; Nutritional Epidemiology and Sustainability Science

Remote / Online - Candidates ideally in
Williamsburg, James City County, Virginia, 23187, USA
Listing for: Commonwealth of VA Careers
Per diem, Remote/Work from Home position
Listed on 2026-07-22
Job specializations:
  • Research/Development
    Public Health, Research Scientist, Data Scientist, Clinical Research
Salary/Wage Range or Industry Benchmark: 55000 - 65000 USD Yearly USD 55000.00 65000.00 YEAR
Job Description & How to Apply Below
Position: Post-doctoral Fellow in Health Sciences (Nutritional Epidemiology and Sustainability Science)

Post-doctoral Fellow in Health Sciences (Nutritional Epidemiology and Sustainability Science)

The Department of Health Sciences at William & Mary, a public university of the Commonwealth of Virginia, seeks applications for a 14-month Post-doctoral Fellow position that will begin September 10, 2026. We seek an individual with expertise in health sciences, and additional experience in sustainability science is preferred. This multidisciplinary position will work directly with the lab director, in collaboration with other internal and external team members, on research projects that evaluate the health and sustainability impacts of diets and foods in the US context.

The Postdoctoral Research Fellow will lead several studies and will receive direct support from a multidisciplinary team. The Fellow will also receive mentoring on various professional development activities such as building a successful research team, pursuing funded research, navigating the scientific publishing process, presentation skills, and managing personnel.

Location:

Adair Hall, William & Mary, Williamsburg, VA.

Required Qualifications
  • Applicants must hold a Ph.D. in nutrition, epidemiology, public health, data science, sustainability science, or a related field at the time appointment begins (September 10, 2026).
  • Experience working with data from the National Health and Nutrition Examination Survey, or other relevant survey data.
  • Experience working with one or more programming/statistical languages, such as Stata, R, SAS, or other relevant programming/statistical languages.
Preferred Qualifications
  • Experience working on multidisciplinary research that uses secondary data, computational models, and statistical methods.
  • Training in quantitative methods.
  • Strong organizational and communication skills.
  • Experience in sustainability science.
Benefits

William & Mary offers our full‑time employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, an Employee Assistance Program, and library access. Additional benefits provided to this position will be a computer and office space.

Conditions of Employment

This position may require additional hours beyond the typical work week, including occasional overnight and weekend work as needed to meet the business needs of the operation.

Remote Work

The position is based in Williamsburg, and an on‑site presence is preferred; however, remote work arrangements may be considered and are subject to approval.

EEO Statement

EEO is the Law. Applicants can learn more about William & Mary’s status as an equal opportunity employer by viewing the "Know Your Rights" poster published by the U.S. Equal Employment Opportunity Commission. https://(Use the "Apply for this Job" box below).-illegal

Background Check

William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

Remote Work Disclaimer

Remote work eligibility is not guaranteed and is subject to approval. Employee eligibility depends on the likelihood of the employee succeeding in a remote work arrangement and the supervisor’s ability to manage remote workers. Departments and/or Human Resources may amend, alter, change, delete, or modify eligibility.

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