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University of Rochester Research Asst Professor - 237032 in Rochester, New York

Research Asst Professor Job ID 237032

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

Full Time 40 hours Grade 000 Biostats Computational Biology

Responsibilities

This position requires a doctoral degree in statistics/biostatistics. The ideal candidate will be highly organized, detail oriented, and possess good interpersonal and written and verbal communication skills. The successful individual must have experience with supporting the publication of medical research studies in peer-reviewed journals, alone or in collaboration with others, and have the ability to work both independently and in a collaborative team environment. The position requires experience with statistical analysis and programming languages (e.g., R; SAS) and a history of success as an author on peer-reviewed, biomedical research studies. Experience with mentoring and/or teaching clinical fellows, medical and/or graduate students is strongly preferred. The position is available for 12 months initially with the possibility of renewal for one or more years depending on performance and available funding.

Interested individuals should apply on-line to Job posting #237032 at http://www.rochester.edu/working/hr/jobs/

The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion 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 status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.

How To Apply

All applicants must apply online.

EOE Minorities/Females/Protected Veterans/Disabled

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