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RFA-LM-26-004 is the National Library of Medicine's institutional training grant program for building 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 - clinical decision support, medical imaging analysis, electronic health record modeling, drug discovery informatics, and public health data science among them.
The program is one of the most durable pipelines in health AI: NLM institutional training grants have seeded a large share of the academic biomedical informatics faculty in the United States. The FY2026 competition makes $12,000,000 available across approximately 25 awards, with individual awards from $500,000 to $775,000.
Because this is a T-series institutional mechanism rather than a research project grant, the application is built around program design, mentor quality and depth, trainee recruitment and retention plans, and curriculum integration across computer science, statistics, and biomedical disciplines - not around a specific research aim.
Institutions with an existing informatics or computational biology program and a demonstrable mentor pool are the realistic applicants. The estimated post date is 2 June 2026 with applications due 25 September 2026, awards in January 2027, and project start on 1 July 2027.
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Or search similar grants →According to the current listing, eligibility includes: Eligible applicants include public and private institutions of higher education, nonprofit organizations with or without 501(c)(3) status, and federally recognized Native American tribal governments. The applicant institution must be able to mount a substantive predoctoral and/or postdoctoral training program in biomedical informatics, data science, and AI/ML, with a qualified pool of mentors and an integrated curriculum spanning computational and biomedical disciplines. Applications are due 25 September 2026 (estimated), with an estimated award date of 30 January 2027 and project start of 1 July 2027. Applicants should confirm current dates in the published RFA in the NIH Guide. Confirm the full requirements in the official notice before applying.
The current listing shows awards range from $500,000 to $775,000, with total program funding of $12,000,000 and approximately 25 awards expected. This is an institutional training grant mechanism, so funds support predoctoral and postdoctoral trainee stipends, tuition, and program costs rather than a principal investigator's own research. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NIH NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI RFA-LM-26-004 are due September 25, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NIH NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI RFA-LM-26-004 is funded by U.S. 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.
The FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The AI3 Action Institute is a federal effort to build dedicated AI capacity within Native communities rather than fund a single applied AI project. The awardee establishes and operates an AI resource hub for Native communities, providing technology information, facilitating information sharing and technology deployment across tribal and Native-serving organizations, and conducting stakeholder engagement and coalition building across industry, government and academic sectors. Notably, allowable costs cover short-to-medium-term staff costs including the Institute's director as well as facility setup - a recognition that the binding constraint in this space is institutional infrastructure and staffing, not project ideas. The financial structure is the detail that most shapes strategy: with a $2,500,000 floor, a $3,500,000 ceiling and $3,500,000 in total expected program funding across a three-year period, this is effectively a single-award competition, so applicants should assume they are competing for the entire program rather than for a slot in a cohort. Eligibility is restricted to Native-serving entities - federally recognized Indian tribes, incorporated non-federally or state-recognized tribes, consortia of Indian tribes, Native community-based organizations, Urban Indian Organizations, Alaska Native villages and entities, Native Hawaiian serving agencies, Native Pacific Islander serving agencies, and tribal colleges and universities. That eligibility list is broader than many ACF opportunities, extending to Native Hawaiian and Pacific Islander serving agencies as well as tribal entities. Applicants should expect the strongest proposals to combine an existing convening role in Native technology or education with a realistic plan for standing up durable staff capacity within the grant period, since a hub that dissolves when funding ends would not serve the program's purpose. The deadline is August 27, 2026, and applications are submitted through Grants.gov under opportunity number 362270.
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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