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 https://qcb-dornsife.usc.edu. 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, applicants are required to submit an electronic USC application; follow this job link or paste in a browser: https://usccareers.usc.edu/job/los-angeles/assistant-professor-of-quantitative-and-computational-biology/1209/102278395472 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.
The annual base salary range for this position is $120,850 - $138,075. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.
