NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)
Sponsor: NIHInternal Deadline: 11/25/2026Institutional Submission Limit: 1Sponsor Deadline: 02/11/2027Program Website
The purpose of the National Library of Medicine (NLM) Institutional Training Program in Biomedical Informatics, Data Science, and Artificial Intelligence (AI) is to support pre-doctoral and postdoctoral training for research careers in fields which jointly advance information sciences and data-driven discovery. As the scale and complexity of biomedical and health data continue to grow, there is an increasing national need for a highly skilled workforce capable of developing innovative computational, statistical, and information science approaches to accelerate biomedical discovery and improve health. Graduates of NLM-supported T15 programs are expected to conduct original basic or applied research at the intersection of computer, statistical, and information sciences and one or more biomedical application domains, preparing them for research- and development-oriented roles in academic institutions, not-for-profit research institutes, governmental and public health agencies, biomedical and technology companies, and health care organizations.
Applicants must propose programs that provide a strong, interdisciplinary training environment equipping trainees with rigorous methodological expertise and meaningful research experience in biomedical informatics, data science, and AI. Proposed programs should include supervised research experiences of increasing sophistication that culminate in an independent research project and dissemination of findings through peer-reviewed publications and presentations at national scientific meetings. Applications may propose the creation of new training programs or the renewal of existing NLM training grants and must describe innovative, adaptable curricula that integrate foundational principles with emerging advances, promote interdisciplinary collaboration, and prepare trainees to address complex challenges in biomedical data science. Programs should focus on advancing technical knowledge and developing a highly skilled research workforce in biomedical informatics, data science, and AI.
This funding opportunity is not intended to train individuals for careers primarily centered on the planning, deployment, maintenance, or administration of health care, public health, or research systems and data.
NIH supports training that prepares individuals for careers in clinically relevant research. Accordingly, gaining experience in clinical trials under the guidance of a mentor or co-mentor is encouraged.
Only one application per institution (normally identified by having a unique entity identifier (UEI)) is allowed.
Submission Process
Limited submissions MUST be coordinated with the Office of the Vice President for Research.
If interested in applying for this opportunity, please combine the following items into a single PDF and email to resdev@mailbox.sc.edu by 5pm on the INTERNAL DEADLINE above:
- Cover page with grant program name & number (if applicable) to which you are applying, your project title, PI (name, department/unit, & email), and list of co-PIs/key collaborators (name & department/unit)
- a two-page project abstract addressing key components/criteria for this specific grant program
- a 2-3 page CV/biosketch for the PI (SCiENcv preferred)