NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)
NLM funds predoctoral and postdoctoral institutional training programs in biomedical informatics, data science, and AI/ML for health and biomedical research.
⚑ T15 institutional training grant; independent clinical trial not allowed · Foreign organizations and non-domestic components of U.S. organizations are not eligible · Applications may be new or renewals of existing NLM-supported programs
This is a training-program mechanism in biomedical informatics/AI for health, which is outside IPPRA’s core research lines. Hogg and Carlson might be adjacent contributors on workforce/training administration, but the team’s substantive portfolio is survey, policy, risk, weather, energy, and education evaluation rather than biomedical data science.
JUDGED AGAINST THE ROSTER'S PUBLICATION DOSSIER · GPT-5.4-MINI · 2026-10-17
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 60 good | technical depth: central; funds training education (capped) |
| IPPRA | 40 partial | peripheral portfolio topic: public_health; social/behavioral work is minor; funds training education, not research (capped); biomedical core — IPPRA health lane is communication/crisis/policy (capped); capped at 40 (non-research funding) |
| Tom Love Innovation Hub | 15 none | deep-tech content; no commercialization signal |
Description
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.
Eligibility
Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.
Apply
View on Grants.gov → CONTACT: National Institutes of Health <NLMProgram@nih.gov>
Proposal brief SEE AN EXAMPLE →
A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.
Proposal shell · National Institutes of Health conventions SEE AN NIH EXAMPLE →
Funder-faithful document skeletons — National Institutes of Health's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.