NHGRI Computational Genomics R01
Funds large collaborative computational genomics projects to advance data-intensive research and population science.
⚠This may reflect a past cycle — verify the current call on the funder's site.
PAR-25-228 is the National Human Genome Research Institute's (NHGRI) dedicated R01 funding opportunity for investigator-initiated innovation in computational genomics and data science. It supports original research that develops, evaluates, or applies computational methods and data science approaches to advance genomic science — including algorithm development, bioinformatics tools, statistical methods for large-scale genomic datasets, and integration of multi-omics data. NHGRI issued this FOA to stimulate high-impact computational work aligned with its Division of Genome Sciences and Division of Genomic Medicine research portfolios.
PAR-25-228 accepts applications on February 5 and June 5 each year through its expiration on September 8, 2027. Award sizes follow standard NIH R01 modular budget rules, with direct costs typically budgeted in $250,000 annual modules; project periods are typically three to five years. Eligible applicants include domestic universities, research institutions, nonprofit organizations, and for-profit companies; individual applicants must be affiliated with an eligible institution. The principal investigator must hold an independent research position — postdoctoral fellows are not eligible as PIs. There are no restrictions on career stage beyond that requirement.
Applications are reviewed through the standard NIH peer review process and considered by the NHGRI Advisory Council before award decisions. NHGRI explicitly encourages early consultation with program staff before submission to confirm that the proposed computational genomics work is responsive to the FOA and aligns with the institute's current scientific priorities. All FOA materials for PAR-25-228 are available on Grants.gov, which serves as NIH's official source for funding opportunities as of FY2026. Strong applications propose technically rigorous and innovative approaches with clear significance to human genomics and health.
Investigator-initiated innovation in computational genomics and data science, including algorithm development, bioinformatics methods, and genomic data analysis tools.
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