Full-Time, Teaching-Track Faculty Position in Quantitative and Computational Biology

University of Southern California; Los Angeles (CA); On-site; USD 80,000 - 90,250; Full time

Job summary

The University of Southern California is seeking a teaching-track faculty member in Quantitative and Computational Biology. This role involves teaching statistics courses and developing computational biology curricula. Ideal candidates will have a PhD and relevant teaching experience. The anticipated start date is August 16, 2026, with applications reviewed starting May 1, 2026. The annual salary range for this position is between $80,000 and $90,250, depending on experience and qualifications.

Qualifications

• Applicants must have received a PhD (or equivalent) degree.
• At least one semester experience as instructor of record of a computational biology course is preferable.

Responsibilities

• Teach statistics courses and develop other computational biology courses.
• Contribute to the academic community within the QCB Department.

Skills

Teaching of statistics courses

Expertise in computational biology

Statistical analysis

Research experience

Education

PhD or equivalent degree

Job description

The Department of Quantitative and Computational Biology (QCB) in the Dana and David Dornsife College of Letters, Arts and Sciences of the University of Southern California invites applications for a teaching-track faculty position, instructor or lecturer, of Quantitative and Computational Biology. The ideal candidate will have expertise in quantitative, computational, and statistical approaches to solve fundamental questions in biology and biomedicine. The teaching activities of the successful candidate will primarily entail the teaching of statistics courses, such as QBIO 305 Statistics for Biological Sciences, as well as the development and teaching of other computational biology courses. This would ideally include algorithms courses, such as QBIO 478 Computational Genome Analysis. Therefore it is expected for the successful candidate to have a track record as researcher and educator in these areas.

The successful candidate will join the QCB Department, a group of 12 tenured/tenure-track, teaching, and research core faculty members. The QCB Department has a 40-year history of computational biology research and education, including a rigorous PhD program in Computational Biology and Bioinformatics with 60 students, a Master’s program in Quantitative and Computational Biology with 25 students, and an undergraduate major in Quantitative Biology with 130 students that represents modern biology education at the interface of biology, mathematics, and computer science. Members of the QCB Department work closely with other faculty in the Dornsife College of Letters, Arts and Sciences, the Viterbi School of Engineering, the Keck School of Medicine, and other USC schools. More information on the QCB Department can be found at http://dornsife.usc.edu/qcb/. The QCB Department is located on the University Park Campus in Los Angeles, California.

The anticipated start date is August 16, 2026. Applicants must have received a PhD (or equivalent) degree by time of appointment and ideally have at least one semester experience as instructor of record of a computational biology course at a higher education institution. Review of applications will begin May 1, 2026. 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 a curriculum vitae, a cover letter, 3 current external letters of recommendation, and available teaching evaluations. Please direct inquiries to Rokas Oginskis at [e-mail].

The annual base salary range for this position is $80,000 - $90,250. 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, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.