Full Time 40 hours Grade 054 Functional Genomics Schedule 8:30 AM-5 PM Responsibilities Position Summary: The Genomics Research Center (GRC) at the University of Rochester is seeking a highly trained and motivated bioinformatician to join its bioinformatics team. The GRC Bioinformatics Group routinely performs analysis of data including, but not limited to mRNA-seq, micro RNA-seq, total RNA-seq, ChIP-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and micro array. Specifically, the candidate will work under the supervision of the Co-director of the GRC and Senior Bioinformatician Project Leads to quality control raw data, identify dysregulated gene and pathways, and integrate disparate datasets into regulatory frameworks. In addition, daily responsibilities of data management, experimental design, optimization and maintenance of computational workflows, incorporation of new methodologies, and providing interpretable results to aid in hythothesis generation are expected. Limited international travel is required ( Typical Duties: Analyze high-throughput sequencing data generated on high-throughput sequencing instruments.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) epigenetic (ATAC, methylation) data from tissue and cells populations.Analysis will include assessment of primary sequence data quality.This requires an extensive working knowledge of linux/unix commands, computer programming languages and application of open-source software tools. Participate in experimental design and analysis of sequencing projects.This includes application and development of novel analytical methods to meet each projectâ™s research goals, management of project milestones, and integration of multiple genomic data types. Secondary analyses of processed data including expression profiling, pathway enrichment analysis, functional annotation, transcription factor binding site prediction, putative motif identification, and chromatin accessibility prediction. Provide bioinformatics support and training to research groups, including use of various software for analysis of genomic data, assistance in analysis and interpretation of data sets, and recommendation of best practices for sequencing experiments. Storage and maintenance (data management) of raw data including but not limited to micro array and high-throughput sequence data sets. Qualifications: Bachelorâ™s degree in Computer Science, Business, Mathematics, Statistics, Science, Engineering or related discipline and 3 to 4 years of related experience; or an equivalent combination of education and experience. Advanced degree (MS or higher) with background in bioinformatics, computational biology, or a related field preferred. Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required. Competency with Python, JAVA, Perl, and C strongly preferred. Strong knowledge of basic statistics, linear model building, principal component analysis, and factor analysis required. Excellent interpersonal, verbal, and written communication skills; strong organizational and analytical skills; and the ability to work in a highly cooperative team environment as well as independently is required.
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