Official funding announcement — preliminary draft
Funder: National Institutes of Health
Opportunity number: RFA-LM-28-001
Official listed status: posted
Closing information: 2027-02-11 (official deadline clock time and time zone must be checked in NOFO)
Award disclosure: Official federal synopsis lists an award ceiling of 775,000; applicant-level applicability requires full-NOFO review.
Applicant categories in federal synopsis: Private institutions of higher education; Independent school districts; County governments; City or township governments; Public housing authorities/Indian housing authorities; Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education; Public and State controlled institutions of higher education; Native American tribal organizations (other than Federally recognized tribal governments); For profit organizations other than small businesses; Small businesses; Special district governments; Native American tribal governments (Federally recognized); State governments; Others (see text field entitled "Additional Information on Eligibility" for clarification); Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
Federal synopsis
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.
Draft intake record. Eligibility, program terms, current amendments and applicant ceiling must be independently verified before publishing.