University of Connecticut Health Center (UCHC)

Tenure/ Tenure Track Faculty

UConn Health

Farmington, CT, United States

Tenure/Tenure Track Faculty positions in Computational Systems Biology. Center for Quantitative Medicine (CQM) in the University of Connecticut School of Medicine, in Farmington, CT, invites applications for faculty positions in computational systems biology at the Assistant and Associate Professor levels. The positions include a tenured/tenure-track appointment in an appropriate department in the UConn School of Medicine.

Applicants should have a doctoral degree in a related field and a strong record or demonstrated promise of relevant publications and extramural funding. Research areas of particular interest include mathematical systems biology, computational systems medicine, and multi-scale mathematical modeling. Demonstrated ability to collaborate with experimental and clinical scientists is essential.
The Center for Quantitative Medicine (CQM) is a transdisciplinary research center at UConn Health which provides a formal home for the integration of quantitative and computational approaches and data to impact health and disease. The Center and its faculty pursue biomedical research in computational systems biology, bioinformatics, and genomics. Through several of its research projects, the faculty engage in many collaborations, locally with others at UConn Health and the Storrs Campus of UConn, area hospitals, and the Jackson Laboratory for Genomic Medicine, as well as with other teams nationally and internationally.

To apply for the Assistant Professor position apply to Search code 2020-330 via https://jobs.uchc.edu/CSS_External/CSSPage_Welcome.asp.

To apply for the Associate Professor position apply to Search code 2020-331 via https://jobs.uchc.edu/CSS_External/CSSPage_Welcome.asp.

For more information please contact Kathy Black at kblack@uchc.edu

UConn Health is an affirmative action employer, in addition to an EEO and M/F/V/PWD/PV employer.

Please apply via recruiter’s website.

Quote Reference: 2020-331, 2020-330