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The Oak Ridge Institute for Science and Education is offering a postdoctoral research opportunity within the NIH focused on enhancing the understanding of women’s health through data science. The role involves contributing to the development of menopause-related Common Data Elements and requires a recent doctoral degree.
The selected candidates will receive an annual stipend of $88,000 and can work in a hybrid or remote setup. Candidates with a keen interest in women's health research and relevant qualifications are encouraged to apply.
NIH-DPCPSI-ORWH-DataScience-2026
This postdoctoral research opportunity offers an immersive STEM learning experience within the National Institutes of Health (NIH), Office of Research on Women’s Health (ORWH). ORWH’s mission focuses on advancing understanding of biological and social factors that impact women’s health. For this program, the fellow will apply data science methods and frameworks to enhance the harmonization, integration, and analysis of research and clinical datasets relevant to women’s health, with the aim of identifying emerging areas for future women’s health research and contributing to an artificial intelligence (AI) platform for women’s health.
A major component of this role will include contributing to and coordinating expert opinion around development of menopause-related Common Data Elements (CDEs) to support standardization and improved data quality across research studies. As needed, the fellow will conduct evaluation, reporting, and communication of scientific activities for NIH leadership and external audiences. Additional activities may be further tailored to the interests and skillset of the fellow.
The fellow will receive comprehensive training in developing common data elements, harmonizing and standardizing various research and clinical data sources, and applying data standards to improve interoperability across platforms. Through active involvement in ORWH data initiatives, including the development of and coordination of menopause-related CDEs, the fellow will gain experience working with NIH data infrastructures, governance processes, and large‑scale data science efforts. The position provides opportunities to collaborate with interdisciplinary teams, develop federal partnerships, contribute to strategic planning and evaluation of data‑driven projects, and build proficiency with analytic tools and data science methodologies relevant to advancing women’s health research.
Fellows are expected to be fully engaged, either in‑person, hybrid, or remote. In‑person or hybrid location is Bethesda, MD.
The selected candidates will receive a monthly stipend and an annual stipend of $88,000, plus a health insurance supplement if they elect the ORAU/ORISE health insurance plan, as necessary.
Initially one year, renewable annually for up to four additional years upon recommendation of NIH and contingent on the availability of funds.
Initial review of applications occurs July 1, 2026. Applications are then reviewed on a rolling basis throughout the 2026 calendar year, and selections made as projects for participation become available.
This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and NIH. Participants do not become employees of NIH, DOE, ORISE, nor ORAU, and there are no employment‑related benefits.
Point of contact: Daphne
Email: NIHprograms@orau.org