Modular R01s in Cancer Control and Population Sciences (R01 Clinical Trial Optional)
🏛 National Institutes of Health (HHS-NIH11)
✓ Free, no account · Source: Grants.gov · Last verified Oct 19, 2026
Can you apply?
This grant is for researchers and research institutions conducting cancer control and population sciences research. Eligible applicants include universities, research institutions, nonprofit organizations, and government agencies with research capacity. Projects must address cancer prevention, detection, treatment, or survivorship in populations. International organizations and foreign institutions may be eligible, depending on NIH policy at the time of application.
The grant supports research projects of varying scope and complexity. Modular budgets up to $250,000 per year are allowed, with project periods typically ranging from 1 to 5 years. Clinical trials are optional but may strengthen applications focused on intervention testing. Research must meet NIH review standards and demonstrate scientific merit and feasibility.
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Program description
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.
Who can apply
Eligible applicants
- 501(c)(3) Public Charity
- City / Municipal Government
- County Government
- Nonprofits
- Private University
- Public Authority
- Public K-12 School
- Public University
- Small Business (SBA-defined)
- Special District
- State Government
- Tribal Nation
- Tribal Organization
Demographic focus
How to apply
Application links
Required documents
- SF-424 (R&R) Form
- Project Narrative (specific aims, research design, significance)
- Budget Form (modular budget page)
- Biosketches (NIH format, all senior personnel)
- Resource Sharing Plan
- Supporting Letters (institutional support, collaborators)
Program contact
- 👤 National Institutes of Health
- 📧 grantsinfo@nih.gov
- 📞 301-402-2541
Funding track record
Recent awards under CFDA 93.399 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$31,699,712
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$23,221,095
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$22,629,848
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$20,624,330
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$20,449,106
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$20,018,954
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$19,957,085
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$17,864,446
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$16,730,455
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$16,126,587
Top States by Funding
- NY 7 awards $64.5M
- SC 3 awards $52.1M
- IL 4 awards $48.9M
- WI 4 awards $48.2M
- PA 4 awards $41.0M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
FAQ
Who is eligible to apply for this R01?
Universities, medical centers, nonprofits, and government agencies with research capacity. Individual researchers must have appropriate institutional affiliation and research credentials.
Can I include a clinical trial in my application?
Yes, clinical trials are optional. Include one if your research involves testing an intervention with human participants.
What is the deadline and how do I apply?
The fixed deadline is January 7, 2028. Applications open November 7, 2024. Apply through NIH's grants portal (eRA Commons).
How much funding can I request?
Modular budgets up to $250,000 per year. Project periods typically range from 1 to 5 years.
How competitive is this grant?
R01s are highly competitive. Success rates vary by institute but typically range from 10-30%. Strong preliminary data and clear innovation strengthen applications.
💡 Tips for applicants
- Start with strong preliminary data showing feasibility of your research approach.
- Align your cancer focus with NIH's priority areas: prevention, detection, treatment, or survivorship.
- Use the modular budget format and justify each module clearly.
- Build a strong research team with complementary expertise and relevant experience.
- Write a clear, compelling specific aims section with testable hypotheses and measurable outcomes.
⚠️ Common mistakes
Applications lack sufficient preliminary data demonstrating feasibility. Research aims are too broad or vague, lacking specific, testable hypotheses. Budget justification is weak, with modules not clearly linked to research objectives.
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