The Computational Medicine Program and Department of Pharmacology at the University of North Carolina at Chapel Hill (UNC-CH) invite applicants for a tenure-track faculty position in Computational Medicine. The Computational Medicine Program at UNC-CH is a newly established research initiative that seeks to integrate modern computational approaches, including mathematical modeling, machine learning, and network analysis, with cutting-edge experimental techniques to address problems relevant to human health. While the area of study is flexible, an ideal candidate would apply methods from systems biology to investigate the molecular mechanisms dysregulated in human diseases, and to eventually develop predictive models of these disease states. The successful candidate will hold a position, and research laboratory space, within the Computational Medicine Program, and also hold a position within the Department of Pharmacology. 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. The successful candidate will also participate in graduate student mentoring and teaching at the graduate level.
Doctoral Degree and 3-6 years of postdoctoral experience in pharmacology, computational/mathematical biology, biophysics, or a related field.
Qualifications and Experience
Strong training and experience in applying computational and quantitative approaches to problems in biomedical 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.
To apply: Please upload your C.V., cover letter, research statement, and list of at least four professional references here: unc.peopleadmin.com/postings/198798
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