BD2K Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01)

Funding Agency:
National Institutes of Health

This BD2K FOA solicits applications for a mentored career development award in the area of Big Data Science. The aim of the initiative is to support additional training of scientists who will gain the knowledge and skills necessary to be independent researchers as well as to work in a team environment to develop new Big Data technologies, methods, and tools applicable to basic and clinical research.    

 

Application Due Date(s): August 1, 2016

RFA-ES-16-002 Expiration Date August 2, 2016

Agency Website

Areas of Interest

The BD2K Mentored Career Development Award in Biomedical Big Data Science is designed to facilitate the career development of interdisciplinary researchers who will develop technology, methods, and tools to capitalize on the Big Data already being generated by biomedical researchers. Big Data Science is interdisciplinary and involves three major scientific areas: (1) computer science or informatics, (2) statistics and mathematics, and (3) biomedical science. It is anticipated that, by the end of the award period, the awardee will have acquired breadth across all of these areas as well as depth in areas of specialty.

Candidates may enter the program from various backgrounds: (1) biologists or clinicians who want to be cross-trained in the quantitative sciences (which includes computer science, statistics, mathematics, informatics, etc.), (2) quantitative scientists who want to be cross-trained in clinical/biological areas or other quantitative areas, and (3) biomedical data scientists who already have some background in areas relevant to Big Data Science but who want to gain further expertise.

Solving the challenges brought about by Big Data will likely involve a team science approach to problem solving. Candidates are expected to acquire knowledge and skills to become independent investigators, but they are also encouraged to work effectively as a member of a team to solve the challenges. In addition, candidates are encouraged to seek multiple mentors from disciplines necessary for capitalizing on Big Data.

Eligibility Requirements

By the time of award, the individual must be a citizen or a non-citizen national of the United States or have been lawfully admitted for permanent residence (i.e., possess a currently valid Permanent Resident Card USCIS Form I-551, or other legal verification of such status

While former PDs/PIs on NIH research project (R01), program project (P01), center grants (P50), sub-projects of program project (P01), sub-projects of center grants (P50), other career development awards (K–awards), or the equivalent NIH or non-NIH grants are eligible to apply, they must demonstrate their commitment to a future career as a full-time biomedical Big Data scientist and a significant shift in research focus to Big Data Science.

Candidates for this award must have a research or health-professional doctoral degree or equivalent.

This funding opportunity may support individuals who propose to train in a new field or individuals who have had a hiatus in their research career because of illness or pressing family circumstances.

The award is intended for research-oriented investigators at any level of experience, from the postdoctorates to mid-career and senior level facultyl, who have shown clear evidence of productivity and research excellence in the field of their training, and who would like to expand their research capability with a mentored career devlopment experience, with the goal of making significant contributions to develop technology,  tools and methods for research in Big Data Science.

The applicant institution must have a strong, well-established record of research and career development activities and faculty qualified to serve as mentors in biomedical, behavioral, or clinical research.

Funding Type

Grant

Eligibility

Faculty

Category

Curriculum Development
Engineering and Physical Sciences
Environmental & Life Sciences
Interdisciplinary
Medical
Medical - Basic Science
Medical - Clinical Science
Social Sciences

External Deadline

August 1, 2016