Data Science Funding

The funding opportunities listed below are coordinated by the Office of Data Science and Emerging Technologies (ODSET). Funding opportunities  from across NIAID will be added on an ongoing basis.

NIAID Funding Opportunity Announcements

NIAID has multiple funding opportunities currently open to support new data science research, training, and technology development to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases.

NOT-AI-23-073: Notice of Intent to Publish a Funding Opportunity Announcement for Center of Excellence for Systems Modeling of Infection and Immunity across Biological Scales (U54 Clinical Trial Not Allowed)

The National Institute of Allergy and Infectious Diseases (NIAID), intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications for a Center of Excellence (CoE) for Systems Modeling of Infection and Immunity across Biological Scales. The CoE will lead, manage, and coordinate computational modeling across the IID community in close collaboration with NIAID. At least three (3) coordination cores (Administration, Model and Data Sharing, Community Development and Education) and two (2) research projects will be required that will develop bridge models between biological scales. One (1) additional core and one (1) additional research project may be included. 

The CoE for Systems Modeling of Infection and Immunity across Biological Scales will include a collaborative network of independent researchers dedicated to IID computational modeling who will foster and bring together the modeling community through model and data sharing, opportunity funds, educational activities, and community-organizing activities.  The CoE will use cutting edge modeling methods to address NIAID strategic priorities that can also quickly mobilize modeling capabilities to meet newly emerging NIAID needs including research following infectious disease outbreaks, epidemics, and pandemics. Potential applicants are encouraged to use this time to develop leadership teams to cover the full range of expertise and experience to develop the coordinating cores and research projects that will represent and enable strong scientific and operational connections between the CoE and the larger IID modeling community.

SBIR PHS-2024-1: A Solicitation of the National Institutes of Health (NIH) and The Centers for Disease Control and Prevention (CDC) for Small Business Innovation Research (SBIR) Contract Proposals

The National Institutes of Health (NIH) and the Centers for Disease Control and Prevention (CDC) are soliciting proposals from small business concerns that possess the research and development (R&D) expertise to conduct innovative research that will contribute toward NIH or CDC mission needs and Small Business Innovation Research (SBIR) program objectives. The purposes of the SBIR program are to: (a) stimulate technological innovation; (b) strengthen the role of small business in meeting Federal research/research & development (R/R&D) needs; (c) foster and encourage participation by socially and economically disadvantaged small business concerns and women-owned business concerns; and (d) increase private sector commercialization of innovations derived from Federal R/R&D, thereby increasing competition, productivity and economic growth. Use this link to the full notice for more information.

The following research topics are anticipated to be included in SBIR contract solicitation PHS-2024-1 at NIAID:

  • Topic 124 - Development of Next-Generation Devices and Materials-Based Platforms for the Administration of HIV-1 Broadly Neutralizing Antibodies
  • Topic 125 - Development of Long-Acting Treatments for HCV Cure
  • Topic 126 - Rapid Diagnostic Assays for Self-Monitoring of Acute or Rebound HIV-1 Infection
  • Topic 127 - Multiplexed Patient Administered Diagnostics for Hepatitis B, Hepatitis C, and HIV
  • Topic 128 - Adjuvant Development for Vaccines for Infectious and Immune-Mediated Diseases
  • Topic 129 - Reagents for Immunologic Analysis of Non-mammalian and Underrepresented Mammalian Models
  • Topic 130 - Adjuvant Discovery and Down-Selection for Vaccines against Infectious and Immune-Mediated Diseases
  • Topic 131 - Development of Bacteriophage for Treatment of Mycobacterial Infections
  • Topic 132 - Novel Diagnostic Biomarker Discovery and Validation for Malaria and Select Neglected Tropical Diseases (NTDs)
  • Topic 133 - Development of a Serological Test for Herpes Simplex Types 1 and 2 Infections
  • Topic 134 - Alternatives to Benzathine Penicillin for Treatment of Syphilis
  • Topic 135 - Software or Web Services to Automate Metadata Enrichment and Standardization for Data on Infectious and Immune – Mediated Diseases
  • Topic 136 - Software or Web Services to Re-Represent Existing Scientific Data and Knowledge into a Knowledge Graph Format

NOT-AI-23-009: Notice of Special Interest (NOSI)–Administrative Supplements to Prepare Data Assets for Infectious and Immune-mediated Diseases for Inclusion into the NIAID Data Ecosystem

The purpose of this NOSI is to highlight interest in supporting supplemental funding applications for award recipients currently funded by participating NIH Institutes and Centers to prepare data assets relevant for infectious- and immune-mediated disease research for inclusion in the NIAID Data Ecosystem. Research may include studies that strive to generate a better understanding of mechanisms for the prevention, diagnosis, and treatment of infectious- and immune mediated diseases.

Read more about this NOSI, including Frequently Asked Questions

NOT-AI-23-010: Notice of Special Interest (NOSI)–Administrative Supplements for R25 Data Science Training for Infectious and Immune-mediated Disease Research

This NOSI invites applicants to enhance existing NIH research Education (R25) awards with data science training relevant to infectious- and immune-mediated disease research. The supplemental work supported by this NOSI will enable existing R25 training programs to offer data science mentoring and training to engage a broader community in data science by improving training programs and transdisciplinary collaboration between biomedical, behavioral, clinical, and computational scientists for research on infectious- and immune-mediated diseases, consistent with the NIH Strategic Plan for Data Science.

NOT-AI-21-011: Notice of Special Interest (NOSI)–Secondary Analysis of Existing Datasets for Advancing Immune-mediated and Infectious Disease Research

This NOSI invites applications proposing innovative informatics/data science projects that seek to answer novel scientific questions and address knowledge gaps in basic, translational and clinical, immune-mediated and infectious diseases by using data in repositories and knowledgebases. Applications must utilize at least one existing dataset generated by NIAID funded research projects/programs and/or existing data available in repositories or knowledgebases funded by NIAID at the time the application is submitted; propose a mechanism to, and share results generated from analysis of existing data, tools associated with the analysis, and other digital assets adhering to FAIR principles; and credit all contributors including the data generators.

NOT-OD-23-165: Smart Health and Biomedical Research in the Era of Artificial Intelligence and Advanced Data Science

This interagency funding opportunity between the NIH and the National Science Foundation (NSF) supports innovative, high-risk/high-reward research with the promise of disruptive transformations in biomedical research. Proposals submitted must make fundamental contributions to two or more disciplines, such as computer or information sciences, engineering, social, behavioral, biomedical, cognitive and/or economic sciences, to improve the fundamental understanding of biomedical and health related processes and address a key health problem. Information about the opportunity, including proposal guidelines, can be found at the link above or from NSF announcement NSF 23-614.

NIH Funding Opportunity Announcements

NIH has several ongoing funding opportunities supporting data science research across biomedical research topic areas. For more NIH funding opportunities, visit the NIH Guide for Grants and Contracts.

RFA-RM-23-013: Partnerships With Common Fund Data Ecosystem Resources (U24 Clinical Trial not Allowed)

The NIH Office of Strategic Coordination (Common Fund - https://commonfund.nih.gov/) has generated many valuable and widely available datasets.  The Common Fund Data Ecosystem is helping to ensure that all Common Fund (CF) data are Findable, Accessible, Interoperable, and Reusable (FAIR). The purpose of this Notice of Funding Opportunity (NOFO) is to announce the availability of funds for projects that involve collaboration with multiple CF Data Coordinating Centers (DCCs) to combine discovery and/or translational approaches with work that will enhance reusability of Common Fund data and contribute knowledge to the Common Fund Data Ecosystem.  Clinical trials will not be accepted through this NOFO.  A clinical trial planning component is allowable, provided it is appropriate and rigorously developed.

NIAID Research Career Development Awards

NIAID supports several individual career development (K) awards which strengthen biomedical research careers for scientists from diverse backgrounds. These follow standard due dates and review cycles. Two awards (K01, K25) focus on data science and epidemiology research areas:

K01: Mentored Research Scientist Development Award

Qualified applicants must have a research or health-professional doctoral degree and research must focus on epidemiology and/or data science. Per K01 guidelines in the 2019 Guide notice (NOT-AI-19-061), “This includes but is not limited to computational modeling, bioinformatics, big data and advanced statistical analyses in the prevention, treatment, discovery, prediction or forecasting of infectious, immunologic and/or allergic diseases.” Search for NIAID K01 Funding Opportunities to get a current list.

K25, PA-20-199: Mentored Quantitative Research Development Award

Qualified applicants must have an advanced doctoral degree in a quantitative science field and must be at a postdoctoral to senior faculty level. Additionally, they must demonstrate productivity in their field and must demonstrate intentions to expand their research such that their contributions to behavioral, biomedical, bioimaging, or bioengineering research will increase. Note that there may be restrictions based on past NIH funding –details can be found in the parent funding opportunity announcement (PA-20-199).

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