NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI
Status: Open
Posted date: February 18, 2026
Opportunity ID: 361318
Opportunity number: RFA-LM-26-004
Opportunity category: Discretionary
Agency name: National Institutes of Health
Agency code: HHS-NIH11
Award floor: $500,000
Award ceiling: $775,000
Cost sharing required: No
Funding Instrument Types
- Grant
Category of Funding Activity
- Health
Eligible Applicants
- Native American tribal governments (Federally recognized)
- Native American tribal organizations (other than Federally recognized tribal governments)
- Nonprofits having a 501 (c) (3) status with the IRS, other than institutions of higher education
- Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education
- Private institutions of higher education
- Public and State controlled institutions of higher education
Categories (use these for quoted searches)
- agency_code:hhs_nih11
- category_of_funding_activity:health
- cost_sharing_or_matching_requirement:false
- eligible_applicants:native_american_tribal_governments_federally_recognized
- eligible_applicants:native_american_tribal_organizations_other_than_federally_recognized_tribal_governments
- eligible_applicants:nonprofits_having_a_501_c_3_status_with_the_irs_other_than_institutions_of_higher_education
- eligible_applicants:nonprofits_that_do_not_have_a_501_c_3_status_with_the_irs_other_than_institutions_of_higher_education
- eligible_applicants:private_institutions_of_higher_education
- eligible_applicants:public_and_state_controlled_institutions_of_higher_education
- funding_instrument_type:grant
- opportunity_category:discretionary
- status:open
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.