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

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.

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.