IPPRA / Grant Monitor

2026-07-07
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Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)

PAR-26-040 · National Institutes of Health

biomedical clinical ai data science computing communications Health

Closes
2029-03-05 · 972 d
Award ceiling
$250,000
Award floor
Program funding
$2,500,000
Expected awards
10
Cost sharing
No
Posted
2026-02-11
Instrument
Grant
Characterization · gpt-5.4-mini · 2026-07-07

R01 research projects that develop or implement new bioinformatics, translational bioinformatics, or computational biology methods, tools, and approaches, including AI/ML and large-scale computational analysis of biomedical data.

Funds
basic research
University
direct
physical sciences
minor
engineering
minor
life biomedical
central
computational data
central

⚑ Foreign organizations are eligible, but any application with foreign subawards/subcontracts is noncompliant and will not be considered. · Clinical trial optional. · R01 mechanism; award ceiling $250,000 (likely per year direct costs, per NIH modular-style limits if applicable).

Unit fits — one characterization, each unit's own rules

Physical Sciences & Engineering (demo) 90 strong technical depth: central; funds basic research
IPPRA 40 partial outside portfolio topics; social/behavioral work is none; funds basic research; biomedical core — IPPRA health lane is communication/crisis/policy (capped)
Tom Love Innovation Hub 30 weak prototyping/demonstration stage; deep-tech content

Description

The National Library of Medicine (NLM) seeks applications for research projects that drive groundbreaking innovation and advanced development in the fields of bioinformatics, translational bioinformatics, and computational biology. The primary goal of this initiative is to support the creation and implementation of cutting-edge methods, tools, and approaches that can transform the landscape of biomedical data science. This NOFO aims to address the growing need to leverage transformative technologies — such as artificial intelligence (AI), machine learning, and large-scale computational platforms — to extract actionable knowledge from vast, diverse, and complex biological datasets. By enabling more effective interpretation and integration of multi-dimensional biological and biomedical data, this research will ultimately contribute to improving individual and population health outcomes.

Eligibility

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International CollaborationsNon-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are allowed.NIH will no longer issue awards (i.e., new, renewal, or non-competing continuation) to domestic or foreign entities that involve foreign subawards/subcontracts. All NIH-funded research involving foreign subawards/subcontracts must be submitted in response to a NOFO that is specifically designated for funded international collaborations. This new requirement was effective, May 1, 2025.Applications involving foreign subawards/subcontracts submitted in response to this NOFO will be deemed noncompliant and will not be considered for funding. This policy applies to all monetary international collaborations resulting in foreign subawards/subcontracts, however, it does not preclude unfunded international collaborations or foreign components, funding for foreign consultants, or procurement of unique equipment or supplies from foreign vendors.

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.

ONE LLM CALL (~1¢) · CACHED · REQUIRES STAFF KEY

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.

ONE LLM CALL (~2-3¢) · CACHED · SCAFFOLDING, NOT GHOSTWRITING