"Assistant Professor in Quantitative Biology and Data Science"

Assistant Professor in Quantitative Biology and Data Science

The Baker Institute for Animal Health in the College of Veterinary Medicine at Cornell University invites applications from outstanding scientists for a tenure-track faculty position in quantitative biology and data science at the rank of Assistant Professor. This position is part of a strategic initiative to expand the College's capabilities in computational biology and data science.

The Baker Institute is a multidisciplinary center of excellence in animal health with a record of impactful basic and translational multidisciplinary research spanning multiple diseases of the host, studies of pathogens as well as host-pathogen interactions. Faculty at the Institute maintain strong collaborative partnerships across the College of Veterinary Medicine, Weill Cornell Medical College, and departments such as Ecology and Evolutionary Biology, the Meinig School of Biomedical Engineering, and Computational Biology. Many of our researchers approach animal health through the lens of One Health, generating insights with shared relevance to both animal and human medicine. Now in its 75th year, the Institute has a distinguished history of addressing animal diseases through close engagement with veterinarians and clinicians across the country. This legacy offers rich opportunities for collaboration across the full translational spectrum, from computational data science to clinical diagnostics and treatment.

The successful candidate will be expected to establish a vigorous, externally funded research program in one or more broad areas such as comparative or systems biology, animal and human health, or technology development. The ideal applicant will complement existing strengths at the Baker Institute and across the College in genomics, epigenomics, and transcriptomics, while expanding capabilities in areas such as metabolomics, proteomics, and/or the integration of complex, multimodal datasets. We particularly encourage applications from scientists developing novel statistical, machine learning, or artificial intelligence methods, as well as those applying such approaches to biological data.

Qualifications:

Applicants must hold a Ph.D., D.V.M./Ph.D., or equivalent degree in bioinformatics, computational biology, systems biology, or a related field. A strong record of research productivity and the potential for excellence in independent research are essential. Experience with large-scale biological data analysis, especially in comparative or evolutionary contexts, is highly desirable. A demonstrated commitment to collaborative research and to mentoring students and trainees is expected. Candidates with a D.V.M. or equivalent degree are particularly encouraged to apply. The salary, rank, and title will be commensurate based on academic credentials and experience with a posted range of $120,000 - $135,000.

Application Instructions

Applicants should submit: A cover letter, including a statement of career goals; Curriculum vitae; A statement of research interests and plans (maximum 3 pages plus references); A teaching statement (maximum 1 page); Names and contact information for three individuals who can provide letters of reference. Review of applications will begin in October and continue until the position is filled.