The University of Rochester Medical Center (URMC) is expanding its research activities in the area of biomedical informatics. We are seeking investigators at the Assistant Professor level with independent and collaborative research programs. We are searching for investigators with expertise in the broad areas of bioinformatics, quantitative or systems biology and a research program in cancer biology. Successful candidates will hold appointments in the CBI and the WCI. Academic department affiliation will be determined according to the best fit. Candidates with research experience in the following areas are highly encouraged to apply: Genome and transcriptome informatics, systems biology, population genomics, machine learning, data mining, computational modeling, multi-dimensional data integration of clinical, genomic, metabolome, gene expression or epigenetic data.
URMC offers attractive start-up packages and has a strong commitment to career development. The successful candidate is expected to develop a competitive research program, attract external funding, and participate in graduate education. Major recent institutional investments have created an outstanding research data-driven infrastructure, exemplified by the Health Sciences Center for Computational Innovation https://www.rochester.edu/hscci/ , and the recent $50 million University investment to build the Institute for Data Science http://www.sas.rochester.edu/dsc/ .
Interested individuals should apply on-line to Job posting #215553 at http://www.rochester.edu/working/hr/jobs/ and submit a letter of application, CV, and statement of research interests/plans to Ania_Dworzanski@urmc.rochester.edu .
The University of Rochester, an Equal Opportunity Employer, has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in high education.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled
Pay Range: $105,000 - $150,000 Annually
The referenced pay range represents the minimum and maximum annual salary for this faculty position. Individual salaries will be determined within the job’s salary range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations. Incentive-based compensation may also be applicable and will be discussed during the hiring process.
Location: School of Medicine & Dentistry
Full/Part Time: Full-Time
Opening: Full Time 40 hours Grade 000 Dept of Biomedical Genetics