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Tenure-Track Assistant Professor

Job in City of Rochester, Rochester, Monroe County, New York, 14602, USA
Listing for: Interfolio, Inc
Full Time position
Listed on 2026-10-05
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 250000 USD Yearly USD 100000.00 250000.00 YEAR
Job Description & How to Apply Below
Location: City of Rochester

University of Rochester:
Office of the Provost:
University of Rochester Medical Center:
School of Medicine and Dentistry:
Biostatistics and Computational Biology Location Open  Date

Aug 27, 2026

Salary Range or Pay Grade

100000 -

Description

The Department of Biostatistics and Computational Biology (DBCB) at the University of Rochester (UR) is seeking highly qualified applicants for a tenure-track assistant professor position. The DBCB has a strong preference for attracting applicants with dual interests in the development of statistical/computational methodology and collaborative biomedical research; successful candidates will possess the research skills and experience required to become leaders in both dimensions.

Although applications are welcomed from all corners of biostatistics and will be reviewed carefully, ideal candidates will have expertise and interests in: clinical trial design, including Bayesian adaptive design; gene-trait association studies; omics-informed precision medicine; spatial transcriptomics and/or functional genomics. Each of these areas offers strong opportunities for collaboration with faculty across the UR Medicine health system, and either aligns with or complements departmental strengths.

Training or expertise in related areas such as casual inference, Bayesian inference, high-dimensional data analysis, machine learning, data integration and data visualization are highly desirable.

The DBCB currently has 20 faculty members, and 2 active emeritus, with methodological research interests collectively spanning a broad cross-section of topics in biostatistics and statistics; examples include clinical trial design (including adaptive and SMART trials), causal inference, longitudinal data, survival analysis, Bayesian methods, analysis of social and biological network data, systems biology, and the analysis of large-scale data sets (e.g., from high-throughput genome sequencing and imaging applications).

DBCB faculty also collaborate with over 30 departments and centers, including the Departments of Biomedical Genetics, Medicine, Neurology, Pediatrics and Psychiatry; the Eastman Institute for Oral Health; the NCI-designated Wilmot Cancer Institute; the Center for Health + Technology; the Environmental Health Sciences Center; the Genomics Research Center; and, the Clinical and Cardiovascular Research Center. These collaborations provide a rich source of data and pose novel methodological challenges.

Many faculty hold joint appointments in the departments or centers in which they collaborate. The Department offers a highly regarded PhD program in Statistics; it also runs two master’s degree programs. Many graduates of these programs have gone on to distinguished careers in academia or industry. The DBCB also supports several postdoctoral fellows, master’s-level statisticians and programmers.

Qualifications

Doctoral degree in biostatistics, statistics, or a strongly related discipline with equivalent training. In addition to strong potential for research, successful candidates will have excellent oral and written communication skills and high enthusiasm for graduate teaching and advising.

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Classes).

This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates for all persons consistent with our values and based on applicable law.

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