Investigator Initiated Innovation in Computational Genomics and Data Science (R21 Clinical Trial Not Allowed)
This funding opportunity supports innovative research in computational genomics and data science, encouraging the development of new analytical tools and methods that can improve human health and disease understanding.
Description
The Investigator-Initiated Innovation in Computational Genomics and Data Science funding opportunity, supported by the National Human Genome Research Institute (NHGRI) and the National Library of Medicine (NLM), aims to foster innovation in computational genomics, data science, statistics, and bioinformatics through the R21 Exploratory/Developmental Research Grant mechanism. This program emphasizes the development of novel analytical approaches and early-stage tools for genomics research. Applications should propose methods that broadly apply to human health and diseases, going beyond incremental modifications of existing techniques.
The program supports projects that enhance genomics research through innovative computational tools, addressing challenges in data visualization, machine learning, privacy-preserving computation, and federated learning. Applicants may also explore scaling algorithms for massive genomic datasets and integrating AI with experimental workflows. NHGRI particularly encourages submissions from new investigators, underrepresented groups in genomic science, and researchers from diverse scientific backgrounds.
Eligible applications must adhere to a budget of no more than $275,000 in direct costs over two years, with no more than $200,000 allocated to any single year. Projects with a limited experimental component—up to 10% of the budget for validating computational methods—are allowed. Non-responsive applications include those focused on microbial genomics, resource maintenance, narrowly applicable studies, or general data science research unrelated to genomics.
Eligible applicants include higher education institutions, nonprofits, for-profits, government agencies, and foreign entities. Proposals should align with NIH and NHGRI priorities, emphasize scalability and reproducibility, and incorporate plans for rigorous validation and benchmarking. Tools and software must adhere to the FAIR principles (Findable, Accessible, Interoperable, and Reusable) and be made broadly accessible to the research community.
Applications are due following NIH standard submission deadlines, starting February 16, 2025, with additional cycles every February and June until 2027. NHGRI will evaluate proposals based on innovation, rigor, feasibility, investigator expertise, and significance to genomic research. Applicants must register with NIH systems such as eRA Commons and Grants.gov before submission. Funding decisions will prioritize proposals with strong scientific merit, alignment with program goals, and relevance to genomic data science.
NHGRI encourages collaboration and provides annual grantee meetings to foster knowledge sharing and advance computational genomics innovations. For further guidance, applicants should contact NHGRI program officials or refer to detailed submission requirements in the funding announcement.