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University of Rochester Professor; Associate Professor; Assistant Professor - 235958 in Rochester, New York

Professor; Associate Professor; Assistant Professor Job ID 235958

Location School of Medicine & Dentistry Full/Part Time Full-Time Favorite Job Regular/Temporary Regular Opening

Full Time 40 hours Grade 000 Biostatistics and Computational Biology


Faculty job description:

The Department of Biostatistics and Computational Biology (DBCB) at the University of Rochester (UR) is seeking highly qualified applicants for an open rank tenure-track faculty position. Academic rank will be commensurate with credentials. The DBCB has a strong preference for attracting applicants with dual interests in the development of statistical methodology/computation and collaborative scientific research. This is a targeted search with a focus on attracting candidates with research interests in statistical bioinformatics, including areas such as RNAseq, ATACseq, and other transcriptomics and single cell assays including scRNAseq and flow cytometry. Training or expertise in related areas such as high-dimensional data analysis, machine learning, data integration and data visualization is highly desirable.

Position Qualifications:

Doctoral degree in biostatistics, statistics, or a strongly related discipline such as bioinformatics or computational biology. Candidates must have excellent oral and written communication skills. Candidates for Associate Professor or Professor should also have an established track record of peer-reviewed publications, demonstrated success in attracting extramural research funding, and evidence of teaching excellence at the graduate level.

Interested individuals should apply on-line to Job posting #235958 at

The University of Rochester is committed to fostering, cultivating and preserving a culture of diversity and inclusion. The University believes that a diverse workforce and inclusive workplace culture enhances the performance of our organization and our ability to fulfill our important missions. The University is committed to fostering and supporting a workplace culture inclusive of people regardless of their race, ethnicity, national origin, gender, gender identity, sexual orientation, socio-economic status, marital status, age, physical abilities, political affiliation, religious beliefs or any other non-merit fact, so that all employees feel included, equally valued and supported.

How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled