Research Professor - Cancer Data Science

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.

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 UNC Lineberger Comprehensive Cancer Center and The University of North Carolina School of Medicine seeks a Research Professor to lead our efforts of the Cancer Data Science. This part-time, fixed-term appointment will support the research cornerstone of Lineberger's future and will provide strategic guidance in planning, implementing, and evaluating the cancer center's new strategic plan, with a particular focus on data science integration across all mission areas. This faculty will provide guidance on training and career development programs in cancer data science as well as mentor junior faculty and trainees, as appropriate. It is expected that they will support interdisciplinary collaborations among clinicians, basic scientists, population scientists, and computational researchers

PhD, MD, MD/PhD, or equivalent in a relevant discipline (e.g., biomedical informatics, epidemiology, biostatistics, computer science, or related field)

Nationally recognized record of independent, externally funded research in cancer data science or related domains

Demonstrated expertise in at least two of the following:
Electronic health record ( EHR) and real-world clinical data
Genomic or multi-omic data analysis
Image data science (radiology, pathology, or computational imaging)

Demonstrated experience providing strategic leadership, program development, or advisory oversight

Strong interdisciplinary collaboration skills and a record of high-impact publications

Experience within an NCI-designated Comprehensive Cancer Center

Familiarity with UNC Health data systems or comparable academic health systems

Demonstrated experience contributing to large-scale collaborative grants (e.g., P01, U01, SPORE, CCSG components)

Experience integrating data science into translational or population health research

Expertise in cloud computing, secure data environments, and large-scale data platforms

This position is designated as a Campus Security Authority in accordance with the Clery Act. This position will be required to report Clery crimes to the Clery Compliance Manager and complete annual training about reporting responsibilities.

If you experience any problems accessing the system or have questions about the application process, please contact the University's Academic Personnel Office at facultyrecruitment@unc.edu.

Please note: The Academic Personnel 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.