§ Federal grant opportunity · PA-25-172
Modular R01s in Cancer Control and Population Sciences (R01 Clinical Trial Optional)
National Institutes of Health is accepting applications for Modular R01s in Cancer Control and Population Sciences (R01 Clinical Trial Optional). The deadline is January 7, 2028 and the published award range is Award amount not published.
Key facts
- Funder
- National Institutes of Health
- Application deadline
- January 7, 2028
- Award range
- Award amount not published
- Eligibility
- Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession.
- Geography
- United States
- Focus areas
- Education, Health
- Opportunity number
- PA-25-172
Program overview
This Notice of Funding Opportunity (NOFO) encourages applications for research in cancer control and population sciences. The overarching goal is to provide support to promote research efforts on novel scientific ideas that have the potential to substantially advance cancer research in statistical and analytic methods, epidemiology, cancer survivorship, cancer-related behaviors and behavioral interventions, healthcare delivery, and digital health and data science, and implementation science.
How to apply
- Confirm your organization meets the eligibility criteria above.
- Read the full funding opportunity announcement from National Institutes of Health.
- Draft your narrative against the funder's stated priorities and review criteria.
- Submit before January 7, 2028, allowing time for registration and validation.
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