University of Pennsylvania — Tenure-Track Assistant Professor, Computational Biologist

The Institute for Diabetes, Obesity and Metabolism at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the tenure track. Applicants must have a Ph.D. or equivalent degree and have demonstrated excellent qualifications in education and research.

We are seeking a highly qualified computational biologist with research interests in the functional analysis of genome-wide datasets, in the context of metabolic research. An individual with background in the application or development of state-of-the art computational tools for evaluating genome-wide chromatin immunoprecipitation studies of transcription factors and epigenetic modifications/factors are most highly desired. The most appropriate candidate will take advantage of close interactions with colleagues in Institute for Diabetes, Obesity, and Metabolism (IDOM), as well as the Cardiovascular Institute and Epigenetics Institute, which are co-localized in a new research building, as well as the Institute for Biomedical Informatics. Training in experimental biology and interest in systems biology, epigenetics/chromatin biology and/or metabolism would be useful. A track record of success in obtaining external funding is required. Examples of recent IDOM research involving analysis of big data include PMIDs 29760084, 29439026, 29517978, 28951829. For more information about the IDOM, see

Responsibilities will include participation in academic activities of the IDOM. To be considered for the tenure track, the successful candidate will be expected to develop an independently funded research program and will need to demonstrate excellent qualifications in teaching. The expected start date is January 2019, or after.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

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