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NIH A Story of AI: Portfolio Analysis and Future Directions

RemoteRemoteInternship

Description

The National Institutes of Health (NIH), Office of the Chief Artificial Intelligence Office (CAIO), is offering a unique hands-on STEM learning experience for recent Post Master's or Post Doctoral applicants. This immersive research opportunity allows participants to explore the dynamic intersection of artificial intelligence (AI) and biomedical science while contributing to the understanding of NIH's historical and current investments in AI-related fields.

What will I be learning and doing?

  • Develop Analytical Expertise: Learn to apply advanced data analysis, text mining, and natural language processing techniques to examine NIH’s extensive portfolio of funded research projects.
  • Explore Historical Trends: Gain hands-on experience in constructing data-driven narratives that highlight key areas of investment, impactful programs, and missed opportunities in AI and data science.
  • Identify Strategic Insights: Learn how to synthesize complex quantitative and qualitative datasets to uncover trends, programmatic successes, and gaps in NIH’s AI-related initiatives.
  • Communicate Findings Effectively: Build your skills in translating research insights into actionable recommendations through reports, presentations, and publications tailored for diverse audiences, including NIH leadership.

Why should I apply?

  • Learn about NIH’s Research Ecosystem: Understand how NIH fosters collaborative research and supports AI and data science through various funding mechanisms and programs.
  • Master Data Analysis Tools: Gain hands-on experience with NIH databases and modalities for evaluating research portfolios and identifying key metrics.
  • Contribute to Strategic Insights: Develop recommendations for future AI and data science programs based on historical trends and data-driven insights.
  • Expand Your Professional Skillset: Work alongside experienced mentors to enhance your expertise in research analysis, strategic planning, and scientific communication.
  • Shape the Narrative of AI: Gain invaluable experience in shaping the narrative of AI within the world’s largest biomedical research agency, while building the skills and knowledge to inform future advancements in AI and data science.

Where will I be located?

Fellows are expected to be fully engaged remotely.

What financial provisions will I receive?

  • A monthly stipend to help offset living and other expenses during this appointment.
  • 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 annually up to 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.

Qualifications

  • The qualified candidate must be 18 years or older at the time 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.

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