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RFA-LM-26-004 is the National Library of Medicine's institutional training grant competition for predoctoral and postdoctoral programs in biomedical informatics, data science, and artificial intelligence and machine learning. NLM plans roughly 25 awards from a USD 12,000,000 pool, with awards between USD 500,000 and USD 775,000 and applications due 25 September 2026.
The RFA covers both brand-new training programs and renewals of existing NLM-funded programs, which materially changes the competitive picture: incumbents with track records of trainee placement are competing in the same pool as new entrants, and new programs need to show institutional depth that renewals can simply document.
NLM asks for cutting-edge, forward-looking training experiences that prepare trainees to attack complex health problems with computational methods, and explicitly values interdisciplinary designs that pull together computer science, statistics, clinical and biological perspectives rather than housing training inside a single department.
This is one of the largest sustained federal pipelines for AI-in-health workforce development, and because it is a T-series institutional mechanism it is administered by the institution rather than an individual investigator. Estimated award date is 30 January 2027 with projects starting 1 July 2027.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants are public and private institutions of higher education, nonprofit organizations with and without 501(c)(3) status, and federally recognized Native American tribal governments and tribally designated organizations. No cost sharing or matching is required. Applications are due 25 September 2026, with an estimated award date of 30 January 2027 and estimated project start of 1 July 2027. Total program funding is approximately USD 12,000,000 across an expected 25 awards, with an award floor of USD 500,000 and an award ceiling of USD 775,000. Both new training programs and renewals of currently NLM-funded training programs may apply under this RFA. Because this is an institutional training mechanism, the application is submitted by the institution and led by a program director rather than funding an individual investigator's research project; faculty preceptor depth, trainee recruitment and retention plans, and institutional commitment are central review considerations. Applicants must confirm current due dates, budget caps, page limits, allowable trainee categories and NIH-wide policy requirements directly in the RFA and the NIH Grants Policy Statement before submitting. Confirm the full requirements in the official notice before applying.
The current listing shows NLM intends to commit approximately USD 12,000,000 in total program funding and expects to make about 25 awards. Individual awards range from an award floor of USD 500,000 to an award ceiling of USD 775,000. No cost sharing or matching is required. These are institutional training grants, so the money funds trainee stipends, tuition and program infrastructure rather than a principal investigator's own research - a distinction worth understanding before budgeting, because the allowable cost categories are narrower than on a research award. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was September 25, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and Artificial Intelligence (RFA-LM-26-004) is funded by National Institutes of Health (NIH), National Library of Medicine (NLM). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NIH NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI RFA-LM-26-004 is sponsored by National Institutes of Health (NIH), National Library of Medicine (NLM). This institutional training grant program aims to build the research workforce in biomedical informatics, data science, and artificial intelligence. NLM funds universities and research institutions to run predoctoral and postdoctoral training programs that prepare researchers to apply computational and AI/ML methods to health and biomedical problems.
Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional) is sponsored by National Institutes of Health (NIH), National Library of Medicine (NLM). This funding opportunity advances the development of novel informatics and data science approaches that can help individuals understand and improve their health through actionable insights.
Violence Against Women Discretionary Grants for Indian Tribal Governments is sponsored by Department of Justice. To increase tribal capacity to respond to violent crimes against Indian women, and to develop and strengthen victim services in cases involving violent crimes against Indian women. This listing is currently active. Program number: 16.587. Last updated on 2024-11-26.
The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.
PAR-26-042 funds NLM-priority clinical informatics R01 grants up to $250,000 in direct costs per year through March 6, 2029, with standard NIH cycles on October 5, February 5, and June 5. The notice explicitly defines non-responsive applications: incremental tool improvements, projects primarily focused on social determinants of health, and projects primarily focused on ethical/legal/social issues. With NIH SBIR/STTR just reopened and the OMB Uniform Grants Regulation rewrite reshaping discretionary awards, the NLM clinical informatics line is one of the few stable, well-defined biomedical funding streams left at the agency. Here is how to read it.
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