University of Rochester Sr. Analyst/Programmer - 229858 in Rochester, New York
Sr. Analyst/Programmer Job ID 229858Location School of Medicine & Dentistry Full/Part Time Full-Time Favorite Job Regular/Temporary Regular Opening
Full Time 40 hours Grade 054 Functional GenomicsSchedule
8:30 AM-5 PM; OCC WKENDSResponsibilities
The Genomics Research Center (GRC) at the University of Rochester is seeking a highly trained, motivated, and passionate Bioinformatics Analyst to join a collaborative Bioinformatics group providing applied bioinformatics analytical support to research scientists utilizing high-throughput sequencing and other data types for their research. The ideal candidate should have a solid foundation in molecular biology, genomics, and bioinformatics as well as be able to communicate and work with a diverse research team. Specifically, the applicant will work under supervision of the Director of the GRC and Senior Bioinformatic Scientist 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.The GRC Bioinformatics Group routinely performs analysis of data including, but not limited to mRNA-seq (bulk and single-cell), micro RNA-seq, total RNA-seq, ChIP-seq, ATAC-seq, whole genome and exome sequencing, methylation sequencing, and micro array using cutting edge analytical methods as well as educates the research community on best practices for informatics. The GRC provides a highly interactive environment with collaborative opportunities across basic and clinical departments, access to high performance computing clusters, highly automated analytical pipelines and integration with high-throughput sequencing infrastructure to aid in experimental design and execution for delivery of high-quality results for highly competitive projects. Candidates with a strong background in bioinformatics, computational biology, machine learning are highly encouraged to apply for this position. This position is located in Rochester, NY and located within the Wilmot Cancer Institute. This position will report directly to the Director of the Genomics Research Center (GRC) and will operate with minimal supervision.
E1 . Provide integrative data analysis across various genomic data types, such as transcriptomics, whole genome, methylation, chromatin accessibility, and single-cell genomics, with the goal of generating multi-omic data to aid in biological interpretation. This requires an extensive working knowledge of linux/unix commands, computer programming languages, knowledge of deep learning/AI methodologies, and application of open-source software tools in novel analytical frameworks . Consult with users to assess data preparation and management needs and program design. Offer solutions and suggestions to provide optimum efficiency. (25%)
E2 . Provide integrative data analysis across various experimental data types, such as genomics, mass cytometry, and animal model data, with the goal of generating multi-omic data to aid in biological interpretation. This requires an extensive working knowledge of linux/unix commands, computer programming languages, knowledge of deep learning/AI methodologies, and application of open-source software tools in novel analytical frameworks . (20%)
E3. 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. (30%)
E4. Participate in experimental design and analysis of sequencing projects. This includes application and development of novel analytical methods to meet each projects research goals, management of project milestones, and integration of multiple genomic data types . (10%)
E5. Provide bioinformatics consultation 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 . (5%)
E6. Storage and maintenance (data management) of raw data including but not limited to micro array and high-throughput sequence data sets . (5%)
Other projects and job duties as assigned (5%)
Desired Skills and Experience :
Advanced degree (MS or higher) with background in bioinformatics, computational biology, or a related field strongly preferred. Minimum requirements include a bachelor’s degreein related discipline and 3-4 years of related experience. Or equivalent combination of education and experience.
Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming.
Competency with Python, JAVA, Perl, and C++ strongly preferred.
Strong knowledge of basic statistics, linear model building, principal component analysis, and factor analysis.
Excellent interpersonal, presentation, and communication skills, including written communication.
Strong organizational and analytical skills; and the ability to work in a highly cooperative team environment as well as independently.
NOTE: This document describes typical duties and responsibilities and is not intended to limit management from assigning other work as required.
How To Apply
All applicants must apply online.
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