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RFA-LM-28-001

NLM Institutional Grants for Research Training in Biomedical Informatics, Data Science, and AI (T15 Independent Clinical Trial Not Allowed)

National Institutes of Health (HHS-NIH11)

$500,000 - $775,000
Due Feb 11, 2027
At a glance
Moderate Complexity

This grant from the National Library of Medicine is for creating or renewing training programs that prepare researchers in fields like biomedical informatics, data science, and AI. It's aimed at developing skills to tackle health and biomedical challenges using advanced computational methods.

Who it's for: This grant is for organizations and institutions looking to develop or continue training programs in biomedical informatics, data science, and AI. It's suitable for universities, nonprofits, government entities, and other organizations with a focus on health and biomedical research.

More details

Likely Disqualifiers

  • Proposing an independent clinical trial
  • Lack of interdisciplinary approach
  • Programs not relevant to health and biomedical research
  • Insufficient expertise in biomedical computing
  • Non-compliance with NIH guidelines

What You May Need

  • Detailed program proposal
  • Budget plan
  • Institutional support letters
  • Proof of eligibility
  • Interdisciplinary collaboration plan
  • Researcher and faculty CVs
  • Training curriculum outline
  • Evaluation and assessment plan
  • NIH biosketches
  • Current and pending support documentation

Cautions

  • Independent clinical trials are not allowed
  • Ensure interdisciplinary integration
  • Programs must be relevant to health and biomedical research
  • Strict adherence to NIH guidelines is required
  • Funding is competitive

Generated from official source details for readability

Eligibility

Eligible Applicant Types

State Gov
Tribal Org
Individuals
County Gov
City/Township
School Districts
Nonprofit
Special District
Tribal Gov
For-Profit
Private Higher Ed
Public Higher Ed
501(c)(3)
Unrestricted

Additional Criteria

Eligible applicants include federally recognized Indian tribal governments, private and public institutions of higher education, special district governments, nonprofits with or without 501(c)(3) status, independent school districts, county and state governments, other Native American tribal organizations, city or township governments, for-profit organizations, and individuals. This broad eligibility allows a wide range of entities to apply, provided they can demonstrate the capacity to develop or renew training programs in the specified fields.

Overview

This grant is for organizations and institutions looking to develop or continue training programs in biomedical informatics, data science, and AI. It's suitable for universities, nonprofits, government entities, and other organizations with a focus on health and biomedical research.

Likely Disqualifiers

  • Proposing an independent clinical trial
  • Lack of interdisciplinary approach
  • Programs not relevant to health and biomedical research
  • Insufficient expertise in biomedical computing
  • Non-compliance with NIH guidelines

Use of Funds

Funds can be used to develop or renew training programs, covering costs like faculty salaries, trainee stipends, curriculum development, and necessary resources for training in biomedical informatics, data science, and AI.

Total Program Funding

$17,100,000

Expected Awards

25

Cost Sharing

Not Required

Important Dates

Posted
Oct 16, 2026
Deadline
Feb 11, 2027(117 days)
Archive Date
Apr 11, 2027

Application Checklist

0/8 complete
  • Register with NIH eRA Commons
  • Prepare a comprehensive training program proposal
  • Develop a detailed budget and justification
  • Gather institutional support letters
  • Compile CVs and biosketches for key personnel
  • Outline interdisciplinary collaboration strategies
  • Ensure program relevance to health and biomedical research
  • Submit all required documentation by the deadline

Award Range

$500,000 - $775,000

Deadline

Feb 11, 2027

Total Program Funding

$17,100,000

Official Source

Always review the official grant listing for the most accurate and up-to-date information.

View Official Listing

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