Atom Grants
Discover

    Modular R01s in Cancer Control and Population Sciences (R01 Clinical Trial Optional)

    Funding opportunity for cancer research innovations in statistical methods, epidemiology, survivorship, behaviors, healthcare, and implementation.

    Overview
    Eligibility
    Sources (3)
    Similar Grants
    Researchers

    Funder: National Institutes of Health

    Due Dates: June 5, 2025 (New) | July 5, 2025 (Renewal/Resubmission/Revision) | October 5, 2025 (New) | November 5, 2025 (Renewal/Resubmission/Revision) | February 5, 2026 (New) | March 5, 2026 (Renewal/Resubmission/Revision) | and quarterly through November 2027

    Funding Amounts: Up to $250,000 direct costs per year (modular budget); maximum project period 5 years.

    Summary: Supports innovative research in cancer control and population sciences, including statistical methods, epidemiology, survivorship, behaviors, healthcare delivery, digital health, and implementation science.

    Key Information: Clinical trials are optional; foreign and domestic organizations are eligible; updated March 2025 to align with agency priorities.


    Description

    This opportunity from the National Institutes of Health (NIH), led by the National Cancer Institute (NCI), provides support for research projects in cancer control and population sciences. The program is designed to fund innovative, high-impact studies that can substantially advance the field in areas such as statistical and analytic methods, epidemiology, cancer survivorship, cancer-related behaviors and interventions, healthcare delivery, digital health and data science, and implementation science.

    The program uses the modular R01 mechanism, with a focus on projects that can be completed within a shorter time span and with a reduced budget, making it especially suitable for early-stage investigators (ESIs) and those proposing novel, exploratory work.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.