Advancing Bioinformatics, Translational Bioinformatics and Computational Biology Research (R01 Clinical Trial Optional)
National Institutes of Health
Award ceiling
—Award floor
—Posted
Feb 11, 2026Closes
Mar 5, 2029Location eligibility
No specific state restriction found in this listing — check the full opportunity for details.Categories: Health
Eligible applicants: Others (see text field entitled "Additional Information on Eligibility" for clarification), Native American tribal organizations (other than Federally recognized tribal governments), City or township governments, Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education, Special district governments, Small businesses, County governments, Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education, Public housing authorities/Indian housing authorities, For profit organizations other than small businesses, State governments, Native American tribal governments (Federally recognized), Public and State controlled institutions of higher education, Independent school districts, Private institutions of higher education
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.