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BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22)
This BD2K FOA solicits K22 applications for a NIH Career Transition Award to provide support for outstanding basic or clinical investigators in the NIH Intramural Program to transition to independent, faculty level academic positions in the area of Big Data Science. The initiative is a two phase program which includes a mentored one year phase in an intramural appointment at NIH, and a second phase of up to three years of support at an extramural institution. The aim of the initiative is to support the additional training and transition of intramural scientists at any level of experience 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-16-003 Expiration Date August 2, 2016
Areas of Interest
The K22 Career Development Award in Biomedical Big Data Science is designed to facilitate the career tranisition 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 a 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 will seek multiple mentors from disciplines necessary for capitalizing on Big Data.
The purpose of the Career Transition Award (K22) is to provide an opportunity for qualified NIH Intramural Investigators to transition their research programs in Big Data Science as investigators at extramural institutions. The K22 Career Transition Award will support a two-phased research program: (1) a mentored intramural phase of one year; and (2) an extramural phase of up to three years.
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
Candidates for this award must have a clinical, research, or health-professional doctoral degree. Such degrees include, but are not limited to, the PhD, MD, DO, DDS, DMD, OD, DC, DSW, DPH, PharmD, ND (Doctor of Naturopathy), as well as a doctoral degree in nursing research or practice.
Individuals must be affiliated with an NIH Intramural Laboratory. Applicants may have a research appointment at any level in the NIH Intramural Research Program: Postdoctoral Fellows, Clinical Fellows, Staff Scientists, Tenure track and Tenured Intramural Investigators.