The Department of Quantitative and Computational Biology in the Dornsife College of Letters, Arts and Sciences at the University of Southern California invites applications for a tenure-track Assistant Professor position in the broadly defined area of AI method development and applications in biology. We are particularly interested in candidates who develop innovative approaches for predictive modeling in biology with the goal to answer important biological questions. The ideal candidate is expected to have a rigorous computer science, mathematical, computational, and/or statistical background. Priority will be given to applicants based on the overall originality of their work and promise for establishing a strong independent research program.
The successful candidate will join the Department of Quantitative and Computational Biology (QCB) with 16 primary and 30 joint faculty members with a history of 40 years of computational biology research and educational programs, including a Ph.D. program and master's degree in Computational Biology and Bioinformatics, undergraduate major in Quantitative Biology, and undergraduate intensive in AI for Molecular Biology. Members of the QCB faculty work closely with faculty across the university, and many have joint appointments in the Viterbi School of Engineering, Stevens School of Computing and AI, and Keck School of Medicine. More information on the QCB department can be found at qcb-dornsife.usc.edu (opens in new window). The Department of Quantitative and Computational Biology is located on the University Park Campus in Los Angeles, California.
The anticipated start date is August 16, 2027, and applicants must have received a Ph.D. (or equivalent) degree by time of appointment. Review of applications will begin on January 1st, 2027, and continue until the position is filled. In order to be considered for this position, all candidates must apply via the "Apply" link at the top or bottom of this page. Please submit, in a single PDF file, a curriculum vita, a cover letter, a statement of research accomplishments and future research plans, a teaching statement, and the contact information of at least three references that will provide letters of recommendations. Please direct inquiries to: oginskis@usc.edu