NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)

The summary for the NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed) grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the National Institutes of Health, which is the U.S. government agency offering this grant.

NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed): 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.

Federal Grant Title:	NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)
Federal Agency Name:	National Institutes of Health (HHS-NIH11)
Grant Categories:	Health
Type of Opportunity:	Discretionary
Funding Opportunity Number:	RFA-LM-28-001
Type of Funding:	Grant
CFDA Numbers:	93.121, 93.173, 93.242, 93.279, 93.310, 93.398, 93.853, 93.855, 93.867, 93.879
CFDA Descriptions:	Information not provided
Current Application Deadline:	February 11th, 2027
Original Application Deadline:	February 11th, 2027
Posted Date:	October 16th, 2026
Creation Date:	October 16th, 2026
Archive Date:	April 11th, 2027
Total Program Funding:	$17,100,000
Maximum Federal Grant Award:	$775,000
Minimum Federal Grant Award:	$500,000
Expected Number of Awards:	25
Cost Sharing or Matching:	No
Last Updated:	October 16th, 2026

Applicants Eligible for this Grant: State governments - County governments - City or township governments - Special district governments - Independent school districts - Public and State controlled institutions of higher education - Native American tribal governments (Federally recognized) - Public housing authorities/Indian housing authorities - Native American tribal organizations (other than Federally recognized tribal governments) - Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education - Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education - Private institutions of higher education - For-profit organizations other than small businesses - Small businesses - Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility: Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.
Grant Announcement Contact: NLM Extramural Programs
[email protected]
[email protected]
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