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NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI is sponsored by National Institutes of Health (NIH). The National Institutes of Health (NIH) is inviting applications for the NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI.
These grants aim to foster innovative predoctoral and postdoctoral training programs to prepare the next generation of researchers to tackle complex health and biomedical challenges through advanced computational approaches, with a focus on interdisciplinary integration of methods across various fields. The estimated total program funding is $12 million, with approximately 25 grants anticipated to be awarded.
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Opportunity Listing - NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI Agency: National Institutes of Health Assistance Listings: 93. 879 -- Medical Library Assistance Last Updated: February 18, 2026 View version history on Grants.
gov 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.
Private institutions of higher education Public and state institutions of higher education Nonprofits non-higher education with 501(c)(3) Other Native American tribal organizations Nonprofits non-higher education without 501(c)(3) Federally recognized Native American tribal governments Grantor contact information No documents are currently available.
Link to additional information Estimated Application Due Date : Estimated Due Date Description : Estimated Project Start Date : Funding opportunity number : Cost sharing or matching requirement : Funding instrument type : Opportunity Category Explanation : Category of Funding Activity :
Based on current listing details, eligibility includes: Eligible institutions can create training programs for predoctoral and postdoctoral researchers. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $500,000 to $775,000 (estimated per grant) Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is September 25, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
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