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
The Application of Big Data Analytics to Drug Abuse Research (R01 Clinical Trial Optional)

PA-18-057

NIDA

Nov 01 2017

May 08 2019

The purpose of this FOA is to encourage the application of Big Data analytics to reveal deeper or novel insights into the biological and behavioral processes associated with substance abuse and addiction.NIDA recognizes that to accelerate progress toward understanding how the human brain and behavior is altered by chronic drug use and addiction, it is vital to develop more powerful analytical methods and visualization tools that can help capture the richness of data being generated from genetic, epigenetic, molecular, proteomic, metabolomic, brain-imaging, micro-electrode, behavioral, clinical, social, services, environmental studies as well as data generated from electronic health records.Applications for this FOA should develop and/or utilize computational approaches for analyzing large, complex datasets acquired from drug addiction research.The rapid increase of technologies to acquire unprecedented amounts of neurobiological and behavioral data, and an expanding capacity to store those data, results in great opportunity to bring to bear the power of the computational methods of Big Data analytics on drug abuse and addiction.

data science, big data, computational, bioinformatics, machine learning
Technologies for Improving Minority Health and Eliminating Health Disparities (R41/R42- Clinical Trial Optional)

RFA-MD-18-010

NIMHD

Aug 01 2018

Apr 02 2019

This Funding Opportunity Announcement (FOA) invites eligible United States small business concerns (SBCs) to submit Small Business Technology Transfer (STTR) grant applications that propose to develop a product, process or service for commercialization with the aim of improving minority health and/or reducing health disparities in one or more NIH-defined health disparity population groups. Appropriate technologies should be effective, affordable, and culturally acceptable.

data science, big data, data integration
T32 Training Program for Institutions That Promote Diversity (T32 Clinical Trial Not Allowed)

RFA-HL-19-023

NHLBI

Apr 27 2018

May 07 2021

The purpose of this funding opportunity announcement (FOA) is to enhance the participation of individuals from diverse backgrounds underrepresented in cardiovascular, pulmonary, hematologic and sleep disorders research across the career development continuum. The NHLBIs T32 Training Program for Institutions That Promote Diversity is a Ruth L. Kirschstein National Research Service Award Program intended to support training of predoctoral and health professional students and individuals in postdoctoral training institutions with an institutional mission focused on serving health disparity populations not well represented in scientific research, or institutions that have been identified by federal legislation as having an institutional mission focused on these populations, with the potential to develop meritorious training programs in cardiovascular, pulmonary, and hematologic diseases, and sleep disorders. The NHLBIs T32 Training Program for Institutions That Promote Diversity is designed to expand the capability for biomedical research by providing grant support to institutions that have developed successful programs that promote diversity, serve health disparity populations, and that offer doctoral degrees in the health professions or in health-related sciences. These institutions are uniquely positioned to engage minority and other health disparity populations in research, translation, and implementation of research advances that impact health outcomes, as well as provide health care for these populations. This Funding Opportunity Announcement (FOA) does not allow appointed Trainees to lead an independent clinical trial, but does allow them to obtain research experience in a clinical trial led by a mentor or co-mentor.

data science, big data, quantitative science, bioinformatics
Stimulating Access to Research in Residency (StARR) (R38)

RFA-HL-18-023

NHLBI

Aug 23 2017

May 13 2020

The purpose of this program is to recruit and retain outstanding, postdoctoral-level health professionals who have demonstrated potential and interest in pursuing careers as clinician-investigators. To address the growing need for this critical component of the research workforce, this funding opportunity seeks applications from institutional programs that can provide outstanding mentored research opportunities for Resident-Investigators and foster their ability to transition to individual career development research awards. The program will support institutions to provide support for up to 2 years of research conducted by Resident-Investigators in structured programs for clinician-investigators with defined program milestones.

data science, bioinformatics
Short-Term Research Education Program to Increase Diversity in Health-Related Research (R25 Clinical Trial Not Allowed)

RFA-HL-19-024

NHLBI

May 01 2018

May 07 2021

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The over-arching goal of this NHLBI R25 program is to support educational activities that enhance the diversity of the biomedical, behavioral and clinical research workforce in the mission areas of importance to NHLBI.
To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Research Experiences

data science, big data, bioinformatics
Research Career Enhancement Award to Advance Therapy Development for Alzheimer's (K18)

PAR-17-052

NIA

Nov 07 2016

Jan 08 2020

This NIA Research Career Enhancement Award (K18) program invites applications from qualified researchers to acquire training and career development experiences that close expertise gaps in data science and in drug discovery. The goal of the program is to allow Alzheimer's Disease (AD) researchers to expand their expertise to become more effective in leading cross-disciplinary, translational, team-science projects in AD or AD-related dementias (ADRD). This award will also allow data scientists to redirect their expertise toward the study of AD and ADRD.

data science, computational, informatics
Predoctoral Training in Advanced Data Analytics for Behavioral and Social Sciences Research (BSSR) - Institutional Research Training Program [T32]

RFA-OD-19-011

NIH

Oct 03 2018

May 26 2019

This FOA solicits applications for new Behavioral and Social Sciences Research (BSSR) predoctoral training programs that focus on innovative computational and/or data science analytic approaches and their incorporation into training for the future BSSR health research workforce. The vision of the Advanced Data Analytics for BSSR training program is to support the development of a cohort of specialized predoctoral candidates who will possess advanced competencies in data science analytics to apply to an increasingly complex landscape of behavioral and social health-related big data.

data science, big data, computational, informatics, data integration, artificial intelligence, machine learning, natural language processing
Pilot Services Research Grants Not Involving Interventions (R34 Clinical Trial Optional)

PAR-18-267

NIMH

Nov 17 2017

Mar 17 2019

The purpose of this Funding Opportunity Announcement (FOA) is to encourage pilot research consistent with NIMH priorities for services research studies that are not immediate precursors to the development and testing of services interventions.While NIMH has moved to supporting all interventions research under FOAs that require use of an experimental therapeutics model, there is recognition that some important areas of mental health services research fall outside of that domain and have the potential to make significant contributions to advancing NIMH priorities and objectives.These areas include: 1) studies to identify mutable factors that impact access, utilization, quality, financing, outcomes including disparities in outcomes, or scalability of mental health services, which may serve as targets in future intervention development; 2) development and testing of new research tools, measures, or methods; or 3) testing the feasibility of integrating existing data sets to understand factors affecting access, quality or outcomes of care.

data science, big data, data integration, common data
NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)

PAR-18-896

NLM

Aug 09 2018

Sep 08 2021

The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. The scope of NLM's interest in these research domains is broad, with emphasis on new methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, reusable approaches to discovery, curation, analysis, organization and management of health-related digital objects. Biomedical informatics and data science draw upon many fields, including mathematics, statistics, information science, computer science and engineering, and social/behavioral sciences. Application domains include health care delivery, basic biomedical research, clinical and translational research, precision medicine, public health, biosurveillance, health information management in disasters, and similar areas. NLM defines biomedical informatics as the science of optimal representation, organization, management, integration and presentation of information relevant to human health and biology. NIH defines data science as the interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are developed and used to extract knowledge and insights from increasingly large and/or complex sets of data.

data science, computational, informatics
NLM Grants for Scholarly Works in Biomedicine and Health (G13 Clinical Trial Not Allowed)

PAR-19-032

NLM

Oct 23 2018

Feb 27 2020

NLM Grants for Scholarly Works in Biomedicine and Health are awarded for the preparation of book-length manuscripts and other works of academic and/or public health policy value to U.S. health professionals, public health officials, biomedical researchers and historians of the health sciences.

data science, computational, informatics

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