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NIH
Forecasted

RFA-RM-26-002

NIH Director’s New Innovator Award Program (DP2 Clinical Trial Optional)

Summary

AI-generated

NIH Director's New Innovator Award

This program funds early-stage investigators pursuing exceptionally creative, bold research with potential for major impact across biomedical sciences. The award targets researchers proposing high-risk, high-reward projects that challenge conventional approaches—spanning systems biology, disease mechanisms, therapeutic development, and computational biology. Successful applications typically present innovative methodologies or translational research that could reshape understanding of fundamental biological processes or accelerate therapeutic discovery. The program welcomes applications across all biomedical disciplines and is part of the NIH Common Fund's broader High-Risk, High-Reward Research initiative.

  • Who can apply: Early-stage investigators of exceptional creativity; applications in any biomedical science area welcome.
  • Funding & project length: Not stated.
  • Award mechanism: DP2 (Director's New Innovator Award).
  • Key dates: Not stated.
  • Best fit for: Early-career researchers in biomedical sciences (computational biology, systems biology, translational research) proposing unconventional, high-impact projects.

Insights (5)

ESI-exclusive mechanism with significant portfolio-building value for early investigators

career stage

The New Innovator Award is explicitly restricted to early-stage investigators (ESI), making it a rare opportunity to compete in a dedicated, less-crowded pool. Success here provides both substantial funding ($1.5M over 5 years, typical for DP2s) and a prestigious Common Fund award that signals exceptional creativity—valuable for establishing independence and securing future R01 funding.

High-risk, high-reward framing demands genuinely novel approaches, not incremental advances

strategic fit

The program explicitly seeks 'bold and highly innovative research' within the HRHR framework, meaning reviewers expect transformative potential and methodological novelty, not refinement of established paradigms. Applicants should emphasize preliminary data demonstrating feasibility of a risky idea, not a safe, incremental project with strong preliminary results.

Broad scope and Common Fund prestige likely drive high competition despite ESI restriction

competition

Because applications in 'any area within the biomedical sciences' are welcome and the award carries significant prestige, competition is expected to be intense even within the ESI pool. The mechanism funds only ~50 awards annually across all NIH, making this highly selective despite the ESI advantage.

Systems biology and computational approaches align with program's innovation emphasis

strategic fit

The enrichment keywords (systems biology, computational biology, innovative methodologies) suggest reviewers value integrative, cross-disciplinary approaches that challenge conventional thinking. Applicants with computational or systems-level framing of disease mechanisms or therapeutic development will likely be more competitive than those proposing traditional bench approaches.

ESI definition is strict; verify your institution's interpretation of 'independent research position'

eligibility

ESI status requires holding an independent research position (typically R01-equivalent) for ≤10 years since terminal degree. Postdocs, clinical fellows, and researchers in non-independent roles are ineligible. Confirm your institution's grants office has verified your ESI status before investing effort, as borderline cases (e.g., recent transition to independence) may be challenged.

Key Facts

Deadline

Posted

Thu, December 11, 2025

Award Range

$475,000 $475,000

Expected Awards

30

DP2
93.310
Grants.gov

Keywords

early-stage investigator research
innovative research methodologies
high-risk research
translational research
systems biology
disease mechanisms
therapeutic development
biomedical sciences
computational biology

Research Areas

NIH Institute
General Medical SciencesNIGMS
OpenAlex
Life SciencesD1Physical SciencesD3Health SciencesD4
Fields
Agricultural & Biological SciencesF11Biochemistry, Genetics & Molecular BiologyF13Computer ScienceF17EngineeringF22Environmental ScienceF23Immunology & MicrobiologyF24MedicineF27NeuroscienceF28NursingF29Pharmacology, Toxicology & PharmaceuticsF30Health ProfessionsF36
Subfields
BiochemistryS1303BiotechnologyS1305Cell BiologyS1307GeneticsS1311Molecular BiologyS1312Biomedical EngineeringS2204ImmunologyS2403MicrobiologyS2404Biochemistry (Medical)S2704EpidemiologyS2713Health InformaticsS2718Infectious DiseasesS2725Public Health & Occupational HealthS2739Drug DiscoveryS3002PharmacologyS3004
Topics
CRISPR and Genetic EngineeringT10878Microbial Metabolic Engineering and BioproductionT10932Artificial Intelligence in Healthcare and EducationT11636
MeSH
DiseasesCChemicals & DrugsDAnalytical/Diagnostic/Therapeutic TechniquesEPhenomena & ProcessesG
Disciplines & OccupationsH
Natural Science DisciplinesH01Health OccupationsH02
Health CareN
Health Care EconomicsN03Health Care Quality & EvaluationN05
ANZSRC FoR
Biological Sciences31
Biochemistry & Cell Biology3101Bioinformatics & Computational Biology3102Genetics3105Industrial Biotechnology3106Microbiology3107
Biomedical & Clinical Sciences32
Cardiovascular Medicine & Haematology3201Clinical Sciences3202Immunology3204Medical Biochemistry & Metabolomics3205Medical Biotechnology3206Medical Microbiology3207Medical Physiology3208Neurosciences3209Nutrition & Dietetics3210Oncology & Carcinogenesis3211Pharmacology & Pharmaceutical Sciences3214
Chemical Sciences34
Engineering40
Biomedical Engineering4003Chemical Engineering4004Environmental Engineering4011
Health Sciences42
Epidemiology4202Health Services & Systems4203Public Health4206
Information & Computing46
Artificial Intelligence4602Data Management & Data Science4605Machine Learning4611
Mathematical Sciences49
Applied Mathematics4901Statistics4905
Physical Sciences51
Medical & Biological Physics5105

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