ORISE - NIH Building a Federated, AI-Aware Data Ecosystem

Office of Intramural Training & Education; Bethesda (MD); Hybrid; USD 52.000 - 68.000; Vollzeit

Zusammenfassung

The Oak Ridge Institute for Science and Education (ORISE) invites applicants for a federally funded fellowship with NIH ODSS to build a federated, AI-aware data ecosystem. Fellows will work on data resources, governance, and privacy-preserving techniques under mentorship, in a collaborative NIH setting.

Eligible candidates hold a master’s or doctoral degree in a relevant field, are 18+, and may include current graduate students who complete their degrees by start date.

Qualifikationen

• Requirements: 18 years or older at application, master's or doctoral degree in a relevant field.
• Degree must have been earned within the last five years of appointment start date.
• Current graduate students nearing degree completion may apply but must have completed degrees at start date.
• Citizenship: US citizens, Lawful Permanent Residents (LPR), and certain foreign nationals per guidelines.

Aufgaben

• Gain hands-on experience with NIH and ODSS data resources for discovery, harmonization, and analysis.
• Collaborate with multidisciplinary teams to define criteria for success and impact in federated research programs.
• Receive training in science policy translation, governance frameworks, and privacy-preserving methods for NIH-wide data ecosystems.
• Engage with the scientific and stakeholder community to exchange ideas and insights.

Ausbildung

Master's degree

Doctoral degree

Jobbeschreibung

ORISE - NIH Building a Federated, AI-Aware Data Ecosystem

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), invites recent Post-Master and Postdoctoral researchers to apply to a fellowship.

About the position

NIH ODSS leads groundbreaking initiatives such as the Multimodal AI Program (MAI) and the NIH Cloud Platforms Interoperability Program (NCPI). MAI focuses on developing artificial intelligence approaches, while NCPI creates frameworks and standards enabling researchers to seamlessly search, access, and analyze, controlled-access data.

This position is available in-person or remote with mentorship and guidance from the ODSS team, participants will:

• Explore NIH extramural and intramural mechanisms, ODSS-led data science initiatives, and models for collaborative research across NIH Institutes and Centers.
• Gain hands-on experience with NIH and ODSS data resources for discovery, harmonization, and analysis.
• Collaborate with multidisciplinary teams to define criteria for success and impact in various collaborative and federated research programs.
• Receive training in science policy translation, learning how technical standards, governance frameworks, and privacy-preserving methods shape the design of NIH-wide data ecosystems.
• Engage with the broader scientific and stakeholder community to exchange ideas and insights.
• Attend workshops, seminars, and symposia on data science, artificial intelligence, and biomedical research, synthesizing lessons learned to inform ODSS strategies.

Apply for this vacancy

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.

The qualified candidate must be 18 years or older at the time of application and should have received a master's or 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.