Comp Med-LCCC-Genetics

One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC
-Chapel Hill offers full-time employees a comprehensive benefits package , paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.

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.

Education:

We prepare tomorrow`s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce.

Research:
We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research.

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.

Not Applicable.

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