Bioinformatics/Genomics Analyst - University of Rochester

GENERAL PURPOSE: 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. **JOB DUTIES AND RESPONSIBILITIES:** + 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. + 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, computerprogramming languages, knowledge of deep learning/AI methodologies, and application of open-source software tools in novel analytical frameworks + 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 + 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 + Performs other duties as assigned by management **QUALIFICATIONS:** Bachelor's degree in a related discipline required such as Computer Science, Computational Biology/science, Bioinformatics, Biomedical Engineering, Mathematics, Statistics or relevant life science discipline. Minimum of 1 year of related experience required or an equivalent combination of education and experience. Required knowledge, skills and abilities: Experience/proficiency with Perl/python/java/C++/R, statistical programming using R or related tools, web-development, and database query through SQL and ability to prototype software solutions for data analysis and use of next generation sequencing tools such as STAR, TopHat, DeSeq, BWA, GATK and others; Experience with genomics and bioinformatics in a clinical laboratory including setting up, testing and maintaining bioinformatics workflows; Demonstrated ability to achieve results in a fast paced, deadline driven environment with multiple priorities and multiple stakeholders; Ability to learn and deliver work in fast-paced and diverse environment. 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_ **Location:** School of Medicine & Dentistry **Full/Part Time:** Full-Time **Opening:** Full Time 40 hours Grade 053 Ctr for Advanced Research Tech **Schedule:** 8 AM-5 PM