Research Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on September 14, 2018

Feed last updated: December 16 2018 6:29 am
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
NLM Career Development Award in Biomedical Informatics and Data Science (K01)

PAR-16-204

NLM

Apr 19 2016

May 08 2019

The purpose of the NLM Career Development Award (K01) in Biomedical Informatics and Data Science is to provide support and "protected time" (up to three years) for an intensive career development experience in biomedical informatics and data science leading to research independence. NLM invites K01 applications from junior investigators, who have either a health professional or research doctorate and who are in the first three years of their initial faculty positions. Candidates who received their training at one of NLM's university-based biomedical informatics training programs are encouraged to apply.

data science, big data, informatics, bioinformatics
National Institute of General Medical Sciences Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32)

PAR-17-341

NIGMS

Oct 06 2017

Sep 08 2020

The goal of the National Institute of General Medical Sciences (NIGMS)-sponsored Ruth L. Kirschstein National Research Service Award (NRSA) Predoctoral Institutional Research Training Grant (T32) program is to develop a diverse pool of well-trained scientists available to address the Nations biomedical research agenda. Specifically, this funding opportunity announcement (FOA) provides support to eligible, domestic institutions to develop and implement effective, evidence-based approaches to biomedical graduate education and mentoring that will efficiently train future generations of outstanding biomedical scientists, and will allow biomedical graduate education to keep pace with the rapid evolution of the biomedical research enterprise. NIGMS expects that the proposed research training programs will incorporate didactic, research, and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the Nation.

data science, computational, bioinformatics
Mentored Career Development Award to Promote Faculty Diversity in Biomedical Research (K01 Independent Clinical Trial Required)

RFA-HL-19-025

NHLBI

Jul 19 2018

May 07 2021

This Funding Opportunity Announcement (FOA) invites applications to enhance the pool of highly trained investigators from diverse backgrounds underrepresented in research. It is targeted toward individuals whose basic, clinical, and translational research interests are grounded in the advanced methods and experimental approaches needed to solve problems related to cardiovascular, pulmonary, and hematologic diseases and sleep disorders in the general and health disparities populations.
This FOA invites applications from institutions with eligible faculty members to undertake special study and supervised research under a mentor who is an accomplished investigator in the research area proposed and has experience in developing independent investigators.
This FOA is designed specifically for applicants proposing to serve as the lead investigator of an independent clinical trial, a clinical trial feasibility study, or a separate ancillary study to an existing trial, as part of their research and career development. Applicants not planning an independent clinical trial, or proposing to gain research experience in a clinical trial led by another investigator, must apply to the companion FOA (see RFA-HL-19-026).

data science, big data, bioinformatics
Mentored Career Development Award to Promote Faculty Diversity in Biomedical Research (K01 Independent Clinical Trial Not Allowed)

RFA-HL-19-026

NHLBI

Jul 19 2018

May 07 2021

This Funding Opportunity Announcement (FOA) invites applications to enhance the pool of of highly trained investigators from diverse backgrounds underrepresented in research. It is targeted toward individuals whose basic, clinical, and translational research interests are grounded in the advanced methods and experimental approaches needed to solve problems related to cardiovascular, pulmonary, and hematologic diseases and sleep disorders in the general and health disparities populations. This FOA invites applications from Institutions with eligible faculty members to undertake special study and supervised research under a mentor who is an accomplished investigator in the research area proposed and has experience in developing independent investigators. This FOA is designed specifically for applicants proposing research that does not involve leading an independent clinical trial, a clinical trial feasibility study, or an ancillary study to a clinical trial. Applicants to this FOA are permitted to propose research experience in a clinical trial led by a mentor or co-mentor. Applicants proposing a clinical trial or an ancillary study to an ongoing clinical trial as lead investigator, should apply to the companion FOA (see RFA-HL-19-025).

data science, big data, bioinformatics
Medical Scientist Training Program (T32)

PAR-19-036

NIGMS

Oct 25 2018

Sep 08 2021

The goal of the Medical Scientist Training Program (MSTP) is to develop a diverse pool of highly trained physician-scientist leaders available to meet the needs of the Nations biomedical research agenda. Specifically, this funding opportunity announcement (FOA) provides support to eligible domestic institutions to develop and implement effective, evidence-based approaches to integrated dual-degree training leading to the award of both professional medical doctorate degrees and research doctorate degrees (Ph.D. or equivalent). With the dual qualification of rigorous scientific research and clinical practice, graduates will be equipped with the skills to develop research programs that accelerate the translation of research advances to the understanding, detection, treatment and prevention of human disease, and to lead the advancement of biomedical research. Areas of particular importance to NIGMS are the iterative optimization of MSTP training efficacy and efficiency, fostering the persistence of MSTP alumni in research careers, and enhancing the diversity of the physician-scientist workforce. NIGMS expects that the proposed research training programs will incorporate didactic, research, mentoring and career development elements to prepare trainees for careers that will have a significant impact on the health-related research needs of the Nation.

data science, computational
Maintain and Enrich Resource Infrastructure for Existing Environmental Epidemiology Cohorts (R24 Clinical Trial Not Allowed)

RFA-ES-18-009

NIEHS

Aug 30 2018

Oct 10 2020

The purpose of this Funding Opportunity Announcement (FOA) is to solicit grant applications that propose to: (1) support the maintenance of existing Environmental Epidemiology Cohorts (EECs) and to (2) enrich research infrastructure to improve scientific activities and resource sharing with the broader scientific communities.
The ultimate goal is to maintain and maximize NIEHS cohort investments within the environmental epidemiology community by supporting the infrastructure needed to prepare for future research opportunities and to promote broader scientific collaborations.

data science, big data, data integration, common data
Investigator Initiated Research in Computational Genomics and Data Science (R43/R44 Clinical Trial Not Allowed)

PAR-19-061

NHGRI

Nov 08 2018

Sep 06 2021

The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts aimed towards commercial product development in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports genomics research developing innovative analytical and computational commercial products, methodologies, and approaches, early stage development of commercial tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems.

data science, computational, informatics, bioinformatics, machine learning
Investigator Initiated Research in Computational Genomics and Data Science (R21 Clinical Trial Not Allowed)

PAR-18-843

NHGRI

Jun 28 2018

Sep 08 2021

The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All proposals should address how the methods would scale to address larger and larger data sets.

data science, computational, informatics, bioinformatics
Investigator Initiated Research in Computational Genomics and Data Science (R01 Clinical Trial Not Allowed)

PAR-18-844

NHGRI

Jun 28 2018

Sep 08 2021

The purpose of this funding opportunity announcement (FOA) is to invite applications for a broad range of research efforts in computational genomics, data science, statistics, and bioinformatics relevant to one or both of basic or clinical genomic science, and broadly applicable to human health and disease. This FOA supports fundamental genomics research developing innovative analytical methodologies and approaches, early stage development of tools and software, and refinement or hardening of software and tools of high value to the biomedical genomics community. Work supported under this FOA should be enabling for genomics and be generalizable or broadly applicable across diseases and biological systems. All proposals should address how the methods would scale to address larger and larger data sets.

data science, computational, informatics, bioinformatics
Integrative Research to Understand the Impact of Sex Differences on the Molecular Determinants of AD Risk and Responsiveness to Treatment (R01)

PAR-17-033

NIA

Oct 25 2016

Jan 08 2020

This FOA invites applications that apply a cross-disciplinary, team science approach to gain comprehensive, mechanistic understanding of the impact of sex differences on the trajectories of brain aging and phenotypes of AD risk and on the responsiveness to pharmacologic and non-pharmacologic interventions.

data science

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