1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
NLM Predoctoral and Postdoctoral Training Programs in Biomedical Informatics, Data Science, and AI/ML is sponsored by National Institutes of Health (NIH), National Library of Medicine (NLM). The 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).
The programs should focus on cutting-edge, forward-looking training experiences relevant to health and biomedical research.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Institutions capable of establishing and operating innovative training programs. Confirm the full requirements in the official notice before applying.
NLM Predoctoral and Postdoctoral Training Programs in Biomedical Informatics, Data Science, and AI/ML 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.
Past winners and funding trends for this program
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.
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.
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.
Read articleThe NIH Common Fund launched PRIMED-AI — Precision Medicine with AI: Integrating Imaging with Multimodal Data — as five coordinated funding opportunities (RFA-RM-27-011 through -015) that build a full pipeline from standards to clinic. Here is how the Playbook, Data-to-Model partnerships, Model-to-Clinic translation, Validation Center, and Logistics Center fit together, what each pays, who is eligible, and how to position before the October 2026 deadlines.
Read articleARPA-H launched SPECTRA on September 17, 2026 under solicitation ARPA-H-SOL-26-163 — four technical areas with separate Solution Summary deadlines on October 18, December 2, and January 18. The enabling-technologies area closes first, five weeks after launch. Here is why the sequencing matters and how to read each TA.
Read article