Assistant Professor in Quantitative Biology and Data Science

Tenure-Track Faculty Position in Quantitative Biology and Data Science
Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University

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.

Prospective candidates should upload their application materials to https://academicjobsonline.org/ajo/jobs/30365 together with the names and email addresses of 3 references who will be invited to upload their letters at a later time. For more information, please contact Dr. Charles Danko, Search Committee Chair, at cgd24@cornell.edu.

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.

Pay Range:

Pay Ranges:

The hiring rate of pay for the successful candidate will be determined considering the following criteria:

• Prior relevant work or industry experience.

• Education level to the extent education is relevant to the position.

• Academic Discipline

• Unique applicable skills.

Employment Assistance:

Notice to Applicants:

EEO Statement:

Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of "... any person ... any study." No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual's genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.

Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit, and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans' Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.