Open Rank (Comp Med-LCCC-Genetics)

University of North Carolina at Chapel Hill; Chapel Hill (NC); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

The University of North Carolina at Chapel Hill invites applications for a tenure-track faculty position in Computational Medicine and the Department of Genetics. The chosen candidate will integrate computational biology and cancer biology approaches, develop independent programs, and participate in graduate mentoring and teaching.

The appointment is open rank, with relocation and start in early 2027. Candidates should show a track record in computational methods applied to cancer and be

Competenze

• PhD or equivalent degree in a related field is required.
• Minimum 3 years of postdoctoral experience typical; open to current assistant/associate professors.
• Strong background in computational approaches to cancer research preferred.

Mansioni

• Direct an independent research program with extramural funding.
• Mentor graduate students and teach at the graduate level.

Conoscenze

Mathematical modeling

Machine learning

Computational genomics

Artificial intelligence

Formazione

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

Descrizione del lavoro

Department

Genetics - 423501

Posting Open Date

10/26/2026

Open Until Filled

Yes

Position Type

Permanent Faculty

Working Title

Open Rank (Comp Med-LCCC-Genetics)

Appointment Type

Open Rank

Vacancy ID

FAC0006178

Full-time/Part-time

Full-Time Permanent

Hours per week

40

FTE

1

Position Location

North Carolina, US

Hiring Range

Dependent on Qualifications

Proposed Start Date

01/04/2027

Be a Tar Heel!

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.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.

Primary Purpose of Organizational Unit

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.

Position Summary

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.

Minimum Education and Experience Requirements

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

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.

Campus Security Authority Responsibilities

Not Applicable.