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NIH Data Analytics to Support Data Resources, Research Software, and Data Stewardship Programs

National Institutes of Health (NIH)
Bethesda, MD Full Time
POSTED ON 8/10/2026
AVAILABLE BEFORE 10/10/2026

Immersive STEM Learning Fellowship at NIH ODSS

The National Institutes of Health (NIH), Office of Data Science Strategy (ODSS), are seeking Postdocs to apply to a STEM learning fellowship designed to cultivate scientific exploration and professional growth. NIH ODSS leads NIH-wide initiatives focused on advancing data resources, research software, and data infrastructure and stewardship. These initiatives emphasize the adoption of best practices, including the FAIR (Findable, Accessible, Interoperable, Reusable) data principles, which enhance data sharing, discovery, and reuse to accelerate health discoveries. Participants will engage in analytics projects that explore topics such as portfolio and gap analyses, value assessments, and return-on-investment (ROI) frameworks to inform modernization efforts within the NIH data ecosystem.

What Will I Be Doing?

Throughout the fellowship, participants will engage in mentored learning experiences that focus on:

  • Developing a foundational understanding of NIH data ecosystem initiatives and ODSS strategic goals, including efforts to enhance data sharing, interoperability, reuse, and modernization of biomedical research infrastructure.
  • Applying FAIR data principles to promote scientific discovery and reproducibility.
  • Conducting landscape and gap analyses to identify unmet needs, duplication, and areas for strategic investment.
  • Designing and implementing analytics projects to evaluate the adoption and impact of FAIR practices and persistent identifiers.
  • Collaborating with NIH Institutes, Centers, Offices, and the broader research community to exchange ideas and insights.
  • Strengthening skills in strategic analysis, program evaluation, and informatics leadership.

By the end of the fellowship, participants will be able to produce portfolio or gap analyses, develop ROI frameworks for FAIR adoption, analyze trends in persistent identifiers, and deliver recommendations for NIH modernization efforts. Participants will also have opportunities to present their findings through publications, white papers, or presentations.

Why Should I Apply?

This STEM learning fellowship provides a unique opportunity to deepen your expertise in data science, analytics, and NIH-led research initiatives. Participants will gain hands-on experience with NIH data ecosystem strategies, refine their analytical and computational skills, and explore innovative approaches to advancing data sharing and reuse. Guided by experienced mentors, participants will contribute to impactful projects while expanding their understanding of how data-driven practices can accelerate scientific discovery and improve health outcomes.

Where will I be located?

Fellows are expected to be fully engaged, either in-person or remote. In-person location is Bethesda, MD.

What financial provisions will I receive?

The selected candidates will receive a monthly stipend to help offset living and other expenses during this appointment. Stipend rates are determined by NIH officials and are based on the candidate’s academic and professional background. In addition, NIH may provide a health insurance supplement to cover the monthly premium costs if you elect the ORAU/ORISE health insurance plan, as necessary.

What is the length of the appointment?

The appointment will initially be for one year and may be renewed for an additional four years upon recommendation of NIH and is contingent on the availability of funds. 

When are selections made?

An initial review of applications will occur on July 1, 2026. Thereafter, applications will be reviewed on a rolling-basis throughout the 2026 calendar year, and selections made as projects for participation become available.

What is the Nature of the Appointment?

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 the National Institutes of Health (NIH). Participants do not become employees of NIH, DOE, ORISE, nor ORAU, and there are no employment-related benefits.

Salary : $88,000

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