Duke University, Duke Forge

Position ID:Duke University-Duke Forge-PDAFORGE [#15992]
Position Title: Postdoctoral Associate
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27710, United States [map]
Subject Area: Data Science
Appl Deadline:2020/04/15 11:59PMhelp popup* withdrawn (posted 2020/02/16, updated 2020/02/11, listed until 2020/04/15)
Position Description:    

*** the list date or deadline for this position has passed, and no new applications is accepted. ***

* this map is a best-effort approximation. Open in Google Maps directly.

UPDATE: The previous application due date of 3/15/20 has been extended to 4/15/20. Review of applications will still begin on 3/15/20, but will continue on a rolling basis until the position is filled, up until 4/15/20. We will now announce the award by 5/15/20.

Funding Opportunity: 2020 Health Data Science Postdoctoral Scholar

Duke Forge, in collaboration with AI Health, announces a new scholarship opportunity for research at the intersection of quantitative science and health. This program is open to postdoctoral researchers in quantitative science programs. This program funds innovative, strategic, and creative researchers to develop and apply new analytical tools to solve challenges in human health and the delivery of healthcare. Successful applicants will show evidence of outstanding research ability and strong interest in health data science.

Scope: Research projects will focus on developing and exploiting quantitative methodologies to advance understanding of human health and disease, patient care, or the business of healthcare.

Eligibility: New/current postdocs are eligible. Candidates from quantitative disciplines (Computer Science, Engineering, Mathematics, Statistics, and Biostatistics & Bioinformatics) are expected, although candidates from other departments will be considered. The research project must have an innovative quantitative component with a focus on applications in health data science.

Scholars will have protected time for methodological research and will also be expected to engage in high-impact collaborative research projects with interdisciplinary teams with both quantitative and clinical mentors.

Funding: Two years of competitive salary support will be provided for a postdoctoral awardee.

Process: Application packages require the following:

• Cover sheet including the applicant’s contact information, along with names of up to 5 Duke faculty members with whom the applicant would like to study (please *do not* contact faculty directly regarding application submission)

• A statement of research interests (up to 3 pages), describing the importance and potential impact of the applicant’s research on health

• Candidate CV (with hyperlinks to papers published or on ArXiV)

• 3 letters of recommendation

• Apply through Academic Jobs Online by April 15, 2020.

• To be considered, please also send a courtesy copy of your completed application package as a single PDF file to forge@duke.edu by April 15, 2020.

Final funding recommendations will be made by a panel of faculty from Duke Forge/AI Health. Decisions will be communicated to applicants on or around May 1, 2020. Awardees will submit annual reports detailing progress on the project and research partnership between the quantitative and clinical teams. Continued funding is contingent upon an appropriate degree of progress in research. Important dates for the 2020 Duke Forge/AI Health Data Science Scholars Program:

• Submission opens: February 16, 2020

• Submission closes: April 15, 2020

• Award announcement: May 15, 2020

Duke is an Affirmative Action / Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

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