Assistant Professor Positions in Computational Biology and Genomics

Location
New Jersey, United States
Posted
14 Aug 2019
End of advertisement period
14 Oct 2019
Ref
12981
Contract Type
Permanent
Hours
Full Time

The Lewis-Sigler Institute for Integrative Genomics at Princeton University invites applications for tenure-track faculty position at the Assistant Professor level.  We are seeking outstanding scientists in the areas of computational, statistical, or experimental genomics. We are particularly keen to recruit faculty who will extend and complement our existing strengths in the above areas. We seek faculty members who will contribute to our community that embraces excellence and diversity, with a strong commitment to teaching and mentoring.  

The Lewis-Sigler Institute for Integrative Genomics, housed in the Carl Icahn Laboratory at Princeton University, was established to innovate in research and teaching at the interface of modern biology and complementary quantitative sciences.  The Institute provides significant support to its faculty through heavy investment in state-of-the-art infrastructure, an NIH-funded graduate training program, and a high level of administrative support.

Faculty positions are typically jointly appointed in one of the following academic departments at Princeton:  Computer Science, Ecology and Evolutionary Biology, Physics, Chemistry, Chemical and Biological Engineering, Molecular Biology, or Statistics and Machine Learning. These joint faculty positions offer significant benefits in terms of infrastructure, research funds, and collaborative opportunities, as well as an opportunity to interact with unusually able and interdisciplinary students. The successful candidate will have research laboratories at the Institute, and teaching responsibilities (both graduate and undergraduate) will be shared between the Institute and the home department.

Essential Qualifications

All applicants must have a Ph.D., M.D., or equivalent degree.  In addition, applicants must have a very strong record of research productivity, demonstrate the ability to develop a rigorous research program, and be committed to teaching at both the undergraduate and graduate levels.