/Office for Research and Innovation
Proposal Development

 

NIH NLM T15 Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI

T15 Biomedical informatics Portal

All applications for this internal competition must be submitted via InfoReady. You can sign in using your Net-ID and your @stonybrook.edu email address. Please allow sufficient time to familiarize yourself with the portal prior to submitting your pre-application. Pre-application requirements are listed in the announcement below.

The Office for Research and Innovation invites applications for the NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI program (T15 Independent Clinical Trial Not Allowed) program, which funds pre- and post-doctoral training programs to meet a growing need for investigators trained in biomedical informatics research and data science. Stony Brook University can submit ONE application to this program. 

Please see below for details. If you are interested in applying, you must submit a pre-application via the T15 Biomedical Informatics Portal in InfoReady by Monday, November 23, 2026 at 9 am. Pre-applications for internal review and selection must be uploaded to the portal as a single PDF document.

KEYWORDS: Predoctoral training, postdoctoral training, Biomedical Informatics, AI, Machine Learning, Data Science, Health Research

WHAT DOES IT FUND: 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. 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. 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.  Applicants must propose programs that provide a strong, interdisciplinary training environment equipping trainees with rigorous methodological expertise and meaningful, supervised, sophisticated research experience in biomedical informatics, data science, and AI. 

      Training program details: Applicants may request NLM funding for up to a total of 10 trainees, including up to 3 postdoctoral fellows. Applicants may also request additional slots for training in disease-specific informatics research areas that align with NCI, NEI, NIAID, NIDA, NIDCD, NIDCR, NIMH, NINDS, OBSSR, ODSS, or NIH Blueprint for Neuroscience Research priorities (see NOFO section V.2). For pre-doctoral appointees entering training, the endpoint must be a PhD or other doctoral degree in informatics or a related field. Postdoctoral appointees should matriculate in an informatics-relevant graduate degree program. 

THIS PROGRAM DOES NOT FUND: Training programs for careers primarily centered on the planning, deployment, maintenance, or administration of health care, public health, or research systems and data;  Studies leading to the MD, DDS, or other clinical, health-professional training except when part of a formal combined research degree program, such as the MD/PhD; Clinical trials are not allowed, but applications may propose activities involving human subjects that are not deemed clinical trials, and trainees are permitted to obtain research experience in a clinical trial led by a mentor or co-mentor. 

APPLICANT REQUIREMENTS: The PD/PI should be an established investigator in the scientific area in which the application is targeted and capable of providing both administrative and scientific leadership to the development and implementation of the proposed program.

AWARD: Up to $775K in direct costs over 5 years. Requested budget must reflect the actual needs of the proposed project.

COST SHARE: Not required

SPONSOR DEADLINE: February 11, 2027

 

PRE-APPLICATION: A complete pre-application should include the following:
  • Letter of nomination from the PI's SBU Chair which confirms that the department supports the proposal
  • Proposal Narrative (no more than 3 pages) that includes:
    • Program Administration and Synergy (0.5 page): Describe the PI’s or PIs’ leadership, and how the programs will be distinct from and synergize with other programs. 
    • Proposed Curriculum and Focus Areas (1.5 pages): Describe the core curriculum (must provide foundational training in biomedical informatics, data science, and AI). Describe specialized focus areas and how trainees will gain the human health- and disease-related context of their research.
    • Candidate Selection (1 page): Describe what programs trainees will be pulled from and recruitment strategies. Briefly describe the selection process. 
  • Brief justification for disease-specific slots, if requesting (0.5 page maximum)
  • Draft list of target mentors (no page limit)
  • High-level anticipated budget and budget justification (no more than 1 page)
  • PI's CV/Biosketch

 

REVIEW CRITERIA: Reviewers will evaluate the program's potential to:

  • Produce a pool of trainees with the technical, operational, and professional skills necessary to conduct rigorous and reproducible research, and transition into careers in the biomedical research workforce. Reviewers should note that careers in the biomedical research workforce refers to the breadth of careers that sustain the biomedical research enterprise (which includes, but is not exclusive to, careers as independent NIH-funded investigators).
  • Enable a wide range of research-oriented individuals the ability to participate and succeed in the research training program (for example, through recruitment and mentor training activities).  
  • Implement and continually improve upon an innovative curriculum through incorporation of well-designed key performance indicators and an appropriate evaluation framework.

Scored criteria:

  • Training Program and Environment
      • Specific to this solicitation: The extent to which the program will: provide trainees be with translatable skills which increase their value within and beyond traditional research environments; provide training in inter- or multidisciplinary research and/or provide training in state of the art or novel methodologies and techniques; integrate an evaluation framework that ensures continual improvement; integrate the informatics, data science, and AI curriculum topics and make them relevant to all biomedical and health application domains. For applications requesting disease-focused slots, the extent to which the training plan provides a comprehensive approach to developing expertise in that subject area.
  • Training Program Director(s)/Principal Investigator(s) (PD(s)/PI(s))
  • Preceptors/Mentors  
  • Trainees  
  • Training Record