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Assistant Professor (Tenure Track)

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Position Description

The Department of Systems Biology at Columbia University in New York City, in collaboration with the Program in Mathematical Genomics, invites applications for a tenure-track faculty position at the level of Assistant Professor.

We seek exceptional scientists with demonstrated accomplishments in any area of quantitative biology, including but not limited to: systems biology, computational biology, systems immunology, machine learning, functional genomics, molecular and single-cell biology, metabolic network and whole-cell modeling, or innovative methods for generating, analyzing, and interpreting large-scale biological data to address fundamental questions of biomedical importance.

The successful candidate will join a collegial and highly collaborative community of investigators and will have access to world-class resources across Columbia’s campuses. Candidates are expected to establish an independent, creative research program, as well as demonstrate a commitment to teaching and mentorship. We value scholars who contribute to an inclusive and intellectually vibrant environment that promotes scientific excellence across disciplines.

Qualifications

Applicants must have a Ph.D. and/or M.D. in any quantitative discipline with research background in applying quantitative approaches to biological problems.

Application Instructions

Applicants should include a cover letter, curriculum vitae, and a three-page summary/statement of current and proposed research. We also require three letters of recommendation. Completed applications are encouraged to be received by December 15, 2025. Review of applications will begin immediately and will continue until the position is filled.

Equal Employment Opportunity Statement

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.

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