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An established industry player is seeking a tenure-track faculty member in the Department of Systems Biology. This role focuses on quantitative biology, machine learning, and systems biology, offering an opportunity to develop a creative independent research program. The successful candidate will join a collaborative faculty committed to research and teaching excellence while fostering diversity. With access to superb resources, this position is ideal for those passionate about advancing human health through innovative research and mentorship.
The Program for Mathematical Genomics in the Department of Systems Biology at Columbia University in New York City invites outstanding candidates to apply for tenure track/tenured faculty positions at the level of Assistant Professor or higher rank. This new program seeks individuals with exceptional accomplishments and abilities in broad areas of quantitative biology, including but not limited to systems biology (data-driven and model/theory-based), mathematical and theoretical biology, machine learning, functional genomics, dynamical systems modeling, molecular and single-cell biology, and methods development for the analysis and understanding of biological datasets and their associated phenomena. The successful candidate will join a friendly, highly collaborative faculty and will have access to superb resources. We seek faculty members with a strong commitment to research, mentoring, and teaching, fostering a climate that embraces both excellence and diversity.
Research plans with a focus on computational research with relevance to human health will be considered a priority.
Applicants must have a Ph.D. in any quantitative discipline, active research in quantitative approaches to biological problems, and must demonstrate the ability to develop a creative independent research program.
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.