NIH NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Fellows (K99/R00): University Area Pre-Proposal Deadline

NIH NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Fellows (K99/R00)University Area Pre-Proposal Deadline: January 28, 2019 by 5:00PMSponsor Deadline (if nominated): February 26, 2019Eligible Applicants: Applicants must have no more than 2 years of postdoctoral research experience as of the application due date and must be in mentored, postdoctoral training positions. Parental, medical, or other well-justified leave for personal or family situations of generally less than 12 months duration is not included in the 2-year eligibility limit, nor is clinical training with no research involvement (e.g., full-time residency training)

The objective of the NCI Pathway to Independence Award for Outstanding Early Stage Postdoctoral Fellows (K99/R00) is to help outstanding postdoctoral researchers complete needed, mentored training and transition in a timely manner to independent tenure-track (or equivalent) faculty positions. The K99/R00 award is intended to foster the development of a creative, independent research program that will be competitive for subsequent independent funding and that will help advance the mission of the NCI. This program is designed for outstanding postdoctoral fellows with research and/or clinical doctoral degrees who do not require extended periods of mentored research training beyond their original doctoral degrees before transitioning to research independence, which is common for those working in data science and cancer control science.

The University Area (FAS, SEAS, etc) may submit a combined total of three applications to RFA-CA-19-029and/or RFA-CA-19-030. Additionally, each application must be in a different scientific area as defined below:

1. Data Science, defined as an interdisciplinary field of inquiry in which quantitative and analytical approaches, processes, and systems are both developed and used to extract knowledge and insights from increasingly large and/or complex sets of data. This includes cancer-focused data integration and visualization, systems biology, artificial intelligence, machine learning, informatics, genomics, precision oncology, and developing analytics for epidemiological or biostatistical studies.
2. Cancer Control Science, defined as basic and applied research in the behavioral, social, and population sciences to create or enhance interventions that, independently or in combination with biomedical approaches, reduce cancer risk, incidence, morbidity, and mortality, and improve quality of life. This includes research in epidemiology, behavioral sciences, health services, surveillance, cancer survivorship, and healthcare policy.
3. Other Sciences, which includes all scientific fields supported by the NCI that are not included in (A) or (B). Applicants proposing research in (C) "Other Sciences" may apply only if it is reasonable to expect them to transition to independence with an abbreviated period of mentored research training beyond their original doctoral degrees.