Open Rank (Comp Med-LCCC-Genetics)

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn.

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Our mission is to improve the health and well-being of North Carolinians and others whom we serve. We accomplish this by providing leadership and excellence in the interrelated areas of patient care, education and research.

Patient care: We promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.

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The Computational Medicine Program, the Lineberger Comprehensive Cancer Center and the Department of Genetics at the University of North Carolina at Chapel Hill ( UNC-CH) invite applicants for a tenure-track faculty position in Computational Medicine and Department of Genetics. The Computational Medicine Program at UNC-CH is an established research initiative that seeks to integrate modern computational approaches, including mathematical modeling, machine learning, computational genomics and artificial intelligence, with cutting-edge experimental techniques, to address problems relevant to cancer. The ideal candidate would apply methods from systems biology and/or genomics to investigate molecular processes dysregulated in cancer, and to eventually develop models to predict the response of patients to different treatment strategies. The successful candidate will be a member of the Computational Medicine Program and The Cancer Center, hold research laboratory space within the Computational Medicine Program, and hold a faculty position within the Department of Genetics. They will be expected to direct an independent research program supported by extramural funding and participate in team science projects initiated through the Computational Medicine Program and the Lineberger Comprehensive Cancer Center. The successful candidate will also participate in graduate student mentoring and teaching at the graduate level.

PhD or equivalent degree is required in Genetics, Computational Biology, Computer Science, Cancer Biology, Statistics, Mathematics or related fields.

The successful candidates will have significant research experience applying computational approaches to problems in cancer research. While postdoctoral experience is not required, a minimum of 3 years of postdoctoral experience is typical. Current Assistant and Associate professors are also welcome to apply.

Preferred qualifications, competencies and experience:
Strong training and experience in applying computational and quantitative approaches to problems in cancer relevant research. It is anticipated that some candidates may be entirely computational, while others will incorporate an experimental component into their research; both types are eligible and encouraged to apply.

Please upload your C.V. to the "curriculum vitae/resume" tab, upload your Cover Letter to the "cover letter" tab, upload 3 references to the references tab, upload your research statement (The Research Statement should address how your ongoing and planned research uses computational approaches to address outstanding questions in cancer research) to the "research statement". Please also attach 2-3 recent publications to the "other document 2" and "other document 3" tabs.

If you experience any problems accessing the system or have questions about the application process, please contact the University's Executive Vice Chancellor and Provost office at (919)-962-1091 or send an email to facultyrecruitment@unc.edu.

Please note: The Executive Vice Chancellor & Provost office will not be able to provide specific updates regarding position or application status.

If you have any questions about the job requirements or the hiring department notify the Department Contact.

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.