NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI

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Key Information

Due Date: September 25, 2026


Agency: United States Department of Health and Human Services


Source: Federal


Website: View Website


Funding Categories:

Funding Amount: $12,000,000


Funding Type: Grant


Match Required: No


Status: Forecasted


Contact Info: NLMProgram@nih.gov
NLM Extramural Programs Please contact via e-mail.

Overview

The National Library of Medicine (NLM) invites applications for innovative predoctoral and postdoctoral training programs that prepare the next generation of researchers in biomedical informatics, data science, and artificial intelligence/machine learning (AI/ML). NLM emphasizes cutting-edge, forward-looking training experiences that equip trainees to address complex health and biomedical challenges through advanced computational approaches. Applications may propose the creation of new training programs or the renewal of existing NLM-supported programs. These programs are designed to meet the growing demand for researchers with deep expertise in biomedical computing, data science, and AI/ML, with clear relevance to health and biomedical research. Recognizing the inherently interdisciplinary nature of these fields, NLM seeks programs that integrate methods and perspectives across disciplines to advance biomedical informatics, data science, and AI/ML.
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Additional Info

Posted Date: February 18, 2026


Application Due Date: September 25, 2026


Estimated Award Date: Not Specified


Eligible Applicants:

  • Private institutions of higher education
  • Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
  • Native American tribal organizations (other than Federally recognized tribal governments)
  • Public and State controlled institutions of higher education
  • Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
  • Native American tribal governments (Federally recognized)
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