ORISE - NIH Data COUNTS and the Real-World Data Network

Office of Intramural Training & Education

Bethesda (MD)

Hybrid

USD 60,000 - 90,000

Full time

5 days ago
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Benefits offered by this job

Remote option

Job summary

Oak Ridge Institute for Science and Education (ORISE) invites applicants for the ORISE - NIH Data COUNTS and the Real-World Data Network fellowship in Bethesda, MD, with options for remote participation. The program aims to address America's chronic disease crisis through innovative data science initiatives and NIH collaboration.

Participants will engage in mentored learning, develop expertise in data quality, harmonization, governance, and apply clinical data science concepts to RWD usage

Qualifications

  • Must be 18 years or older at time of application.
  • Doctoral degree in a relevant field completed within the last five years.
  • U.S. citizenship, Lawful Permanent Resident (LPR), or eligible non-U.S. citizen status per guidelines.

Responsibilities

  • Engage in mentored learning to understand NIH collaborations with healthcare organizations for real-world data collection.
  • Develop skills in data quality evaluation, methodological approaches, data harmonization and governance within controlled-access environments.
  • Apply clinical data science concepts to study RWD usage across NIH programs and share findings with NIH staff via papers and posters.

Education

Doctoral degree in a relevant field

Job description

ORISE - NIH Data COUNTS and the Real-World Data Network

Organization

Oak Ridge Institute for Science and Education (ORISE), Bethesda, MD and surrounding area (remote)

The National Institutes of Health (NIH) Office of Data Science Strategy (ODSS) has a fellowship opportunity focused on addressing the chronic disease crisis in America through innovative data science initiatives.

About the position

NIH is establishing the Real-World Data Network (RWDN) to enable researchers to study predisposing factors and long-term consequences of chronic diseases. NIH ODSS launched the Data COUNTS, which promotes collection, accessibility, and reuse of real-world data from healthcare partners.

This in-person or remote fellowship will allow participants to engage in mentored learning opportunities to:

  • Develop a foundational understanding of how NIH collaborates with healthcare organizations to advance real-world data collection.
  • Build skills in evaluating data quality, exploring methodological approaches, and understanding data harmonization and governance within controlled-access environments.
  • Apply clinical data science concepts to explore how researchers use RWD effectively across NIH programs.
  • Gain experience engaging with HHS on RWD consent policies and sharing their research findings with NIH staff through white papers, posters and presentations.
  • Learn how interdisciplinary teams—including experts in AI and clinical informatics—collaborate to shape funding opportunities and advance RWD initiatives.
Apply for this vacancy

What you'll need to apply

The next review of applications will occur on October 13, 2026.

Thereafter, applications will be reviewed on a rolling-basis throughout the 2026 calendar year, and selections made as projects for participation become available. See the website for application instructions: NIH Data COUNTS and the Real-World Data Network

If you have questions, contact us at NIHprograms@orau.org. Please include the reference code NIH-DPCPSI-ODSS-DataCOUNTS-2026 for this opportunity in your email.

The qualified candidate must be 18 years or older at the time of application and should have received a doctoral degree in one of the relevant fields. The degree must have been received within the last five years of the appointment start date.

Current graduate students who are nearing degree completion may apply but must have completed their degrees by the start of the fellowship.

Citizenship Requirements: This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and Foreign Nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page for information about the valid immigration statuses that are acceptable for program participation.

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