University of Rochester Analyst/Programmer/Biostatistician - 214228 in Rochester, New York
School of Medicine & Dentistry
Full Time 40 hours Grade 053 Functional Genomics
8:30 AM-5 PM; OCC WKENDS/HOL
The purpose of this position is to provide comprehensive analysis of next-generation sequencing data to customers of the Genomics Research Center (GRC). Our interactive bioinformatics team is focused on fast turn-around of highly reproducible results using state-of-the-art analytical methods and proper handling of large quantities of sequencing data. Our team routinely research, create, and refine in-house workflows to achieve throughput goals while maintaining the quality and scientific integrity of deliverables for every sequencing project. This position also fosters opportunities for collaboration with investigators that are seeking more in-depth analysis than typically provided as part of standard service.
Analyze high-throughput sequencing data generated on next-generation sequencing instruments in the GRC.The sequence data will include: 1) genome sequence data from experimental approaches such as whole genome sequencing, exome sequencing, ChiP-Seq, and targeted resequencing panels 2) RNA-seq data from tissues, cells and bacteria and 3) microbiome, metagenome and metatranscriptome data from bacterial communities.Analysis will include assessment of primary sequence data quality, derivation of reproducible results, and creation of publication level figures.This requires an extensive working knowledge of linux/unix commands, computer programming languages and application of open-source software tools.
Develop and implement tools required to format large data sets, summarize the data for investigators and produce high quality figures for manuscripts (visualization tool development).
Develop and implement tools to track and monitor sequence data quality and output for internal GRC quality control and grant applications.
Attend lab meetings, meeting with supervisors, attending educational seminars.
Bachelor’s degree in related discipline and 2 to 3 years of related experience; or an equivalent combination of education and experience. Master's degree in Bioinformatics; with documented expertise in analysis, management, and visualization of high-throughput sequence data preferred. Experience with multiple computer operating systems (Windows, Mac, Linux and Unix), computer languages (C++, Java/Parallel Java, MySQL, Perl, Python and R) is essential. Excellent verbal and written communication skills required.
How To Apply
All applicants must apply online.
EOE Minorities/Females/Protected Veterans/Disabled