Department of Genetics, UNC Chapel Hill
Computational Biology and Statistics Research Emphasis
Position Summary: The Department of Genetics at the University of North Carolina at Chapel Hill invite applications for a tenure track faculty position. The Department of Genetics (http://www.med.unc.edu/genetics ) provides an outstanding environment for ground breaking research, career development and interface with other units that perform basic, translational and clinical research. The successful candidate will be expected to develop an independent, innovative and internationally recognized research program focused on the development and use of statistical and computational approaches to biomedical research. Candidates with training in statistical genetics, computational biology, data science, or closely related are encouraged to apply. Candidates will be expected to engage in the training, mentorship and supervision of graduate students and postdocs, participate in teaching, and engage in collaborative research.
Educational Requirements: Applicants should have a Ph.D., MD, or MD/Ph.D. degree in Genetics, Biostatistics or other related field.
Qualifications and Experience: Candidates should hold a PhD, MD or equivalent degree by the date of appointment. He or she should have a solid record of scholarly productivity, as evidenced by peer-reviewed publications, fellowship awards, and participation in national and international meetings. Evidence of excellence in teaching, and ability to obtain extramural grant funding, as well as strong oral and written communication skills. We welcome candidates whose experience in teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. Faculty appointment level and salary will be commensurate with the candidate’s experience and qualifications.
Equal Opportunity Employer: The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.
Special Instructions: All candidates must apply online and submit a cover letter, resume, brief (minimum of 1,500 words) statement of ongoing and planned research, and names and contact information for four references.