GENERAL PURPOSE:TheTheTheThe 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, RIP-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.RESPONSIBILITIES:
Analyze high-throughput sequencing data generated on high - throughput sequencing instruments. The sequence data will include: genome sequence data from experimental approaches such as whole
genome sequencing, exome sequencing, ChiP-Seq, and targeted resequencing panels. This requires an extensive working knowledge of linux/unix commands, computer programming languages and application of open-source software tools.
Analyze high-throughput sequencing data generated on high- throughput sequencing instruments. The sequence data will include:
RNA-seq data from tissues, cells and bacteria, with a specific emphasis on transcription/translation (e.g., RIP-seq, PRO-Seq, etc.). Analysis will include assessment of primary sequence data quality.
Develop computational pipelines and bioinformatics tools to analyze sequencing data.
Provide technical training, supervision, and consultation to GRC Bioinformatics team in conjunction with Bioinformatic Staff Scientist.
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.
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.
Perform other duties as assigned by management.QUALIFICATIONS:
Master¿sdegree required
Doctoraldegree preferred
4 years of relevant experience or an equivalent combination of education and experience required
Experience in higher education field preferred
Excellent communications skills, including written communication required
Proven track record executing multiple work streams and producing consistent results required
Strong knowledge of basic statistics, linear model building, principal component analysis, and factor analysis required
Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT required
Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming required
Competency with Python, JAVA, Perl, C, and Cloud computing preferred
Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning preferred
Experience with Azure/AWS or other cloud platform development/deployment preferred
Experience and proficiency developing, deploying, and maintaining complex bioinformatics data processing/analysis pipelines preferred.
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 ApplyAll applicants must apply online.EOE Minorities/Females/Protected Veterans/DisabledPay RangePay Range: $86,482 - $129,723 AnnuallyThe referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job’s compensation 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.Apply for Job
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