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PAR-26-040 is the National Library of Medicine's standing R01 program for bioinformatics, translational bioinformatics and computational biology, and it is written explicitly around leveraging transformative technologies such as artificial intelligence, machine learning and large-scale computational platforms to extract actionable knowledge from vast, diverse and complex biological datasets.
Posted 11 February 2026, applications opened 6 April 2026 with a first due date of 5 June 2026, and the program runs through multiple standard submission cycles until it expires 6 March 2029 - which makes it one of the more useful AI-in-health opportunities to know about, because unlike a one-shot RFA it gives applicants several shots across three years.
Supported areas include omics research spanning genomics, transcriptomics, proteomics and epigenomics, machine learning applications for predictive and analytical bioinformatics, systems biology and computational modelling, biomarker discovery and drug target analysis, and development of FAIR findable, accessible, interoperable and reusable tools.
NLM makes a pointed distinction that reviewers apply: it wants methods that yield functional insights explaining biological phenomena, not purely predictive models that report an accuracy number without mechanistic interpretation. Budgets are capped at USD 250,000 per year in direct costs over up to 4 years.
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Or search similar grants →According to the current listing, eligibility includes: Eligible organizations include public and private higher education institutions, nonprofit organizations with 501(c)(3) status, for-profit organizations including small businesses, and state, local, tribal and federal government agencies. Foreign organizations may participate: unfunded international collaborations are permitted, but foreign subawards or components are not allowed under this NOFO, which is a hard constraint for internationally distributed teams. Budgets are limited to USD 250,000 per year in direct costs with a maximum project period of 4 years. The NOFO was posted 11 February 2026, opened for applications 6 April 2026 with a first due date of 5 June 2026, and expires 6 March 2029, with multiple standard NIH submission cycles available through February 2029. Clinical trials are optional under this announcement. Proposals should demonstrate that AI and machine learning methods produce functional biological insight rather than prediction alone, since this is stated as a program priority. Applicants must verify current due dates, budget caps, clinical trial designations and NIH-wide policies in the full announcement before submitting. Confirm the full requirements in the official notice before applying.
The current listing shows applications are limited to USD 250,000 per year in direct costs, over a project period of up to 4 years, giving a maximum of approximately USD 1,000,000 in direct costs across the full award. Facilities and administrative costs are additional and are not counted against the direct cost cap, so the total cost to NIH per award is materially higher than the headline figure. NLM stated approximately USD 2,500,000 in program funding with about 10 expected awards in the initial cycle. amount_min of 250,000 reflects a single-year budget and amount_max of 1,000,000 reflects the four-year direct cost maximum. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for NLM PAR-26-040 Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research R01 for AI and Machine Learning in Biomedical Data are due March 6, 2029. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
NLM PAR-26-040 Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research R01 for AI and Machine Learning in Biomedical Data 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.
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.
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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