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Bioinformatics Analyst II

  • Anywhere

Company :
Medical College of Wisconsin

Location :
Milwaukee, Wisconsin

Expiry Date :
Sun, 25 Apr 2021 23:59:59 GMT

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Description :
Position Description: Genomics is revolutionizing the medical practice through the expansive use of high-throughput sequencing tests; but these tests commonly identify genomic variants that lack sufficient evidence for accurate interpretation. Bioinformatics is the key to turning this information in to actionable knowledge. The Genomic Sciences and Precision Medicine Center (GSPMC) is seeking an addition to their highly productive Bioinformatics and Data Analytics Unit that services internal and external research and clinical genetics testing. The successful candidate will be cross-trained across our clinical and research service lines including exome, genome, gene panel, RNA-seq, and epigenetic sequencing. Prior experience in the analyses of some of these data types is required and experience in clinical processing and clinical validations preferred. This Bioinformatics Analyst would be expected to maintain current knowledge of the literature, upholding and proactively improving analysis methods for contributions to a wide variety of projects and publications. Support of our clinical operation is critical to the success of our Center. The successful candidate will work closely with two teams – bioinformatics colleagues as well as our clinical analysis and reporting team. Thus communication between these groups is necessary. This position requires support of clinical validations, workflow operations, and managing a portfolio of NGS production projects.The successful candidate will join an interdisciplinary team to integrate multiple data types, develop and support development and of a fuller understanding of how genetic variants modulate epigentic regulators in germline and somatic disease. Functions – Understand genetic and biologic principles to guide the analysis and interpretation of NGS data. Independently provides troubleshooting for data generation and processing. Implements triaging and generates reports. – Develops, implements, and refines bioinformatic workflows and tools for analyzing and visualizing NGS data, including our clinically-validated processes that underly ongoing medical testing. Emphasis on visual and quantitative assessment of QC and genome-wide information. – Leads the analysis and writing for a portfolio of projects and methods development that maintain the GSPMC Service Lines at the forefront of innovation. Presents regular project updates at meetings with collaborators. – Adapts bioinformatics tools, visualization packages, and annotation resources to independently and accurately perform research analysis – flexibility and competency in data wrangling. – Development of automated analysis methods to assess data quality and features using appropriate statistical models and machine learning. – Works with database and system administrators to implement and optimize methods for data input, storage, retrieval, and reporting for APIs and data access portals. – Operates, and troubleshoots, and improves analytic tools; notifies Supervisor when complex problems occur. Preferred Schedule: Position Requirements: Specifications Minimum Education: Bachelor’s Degree Preferred Education: Master’s Degree Required Experience: 2 years; Thesis/Publications with direct relevance Preferred Field of Study: Bioinformatics, Structural Informatics, Biophysics, Molecular Biology, Machine Learning/AI, or comparable field Knowledge, Skills, and Abilities This position requires strong cross-disciplinary and analytical skills, working knowledge of NGS processing such as whole-genome DNA sequencing, agile data wrangling, as well as experience using tools for NGS data processing in general. Working experience with gene expression and epigenetic sequence analysis and algorithms is preferred. The successful candidate will join a productive team of bioinformaticians in developing more detailed and systematic understanding of how genetic variants contribute to diseases, how cells respond and reshape their gene expression in response, and how all of those effects combine to drive organismal phenotypes and disease. As the lab is actively working in this application area, the successful candidate will receive training in on the established workflows and processes, with opportunities to improve the workflows, increase automation, and apply machine learning and statistical approaches to data integration and data mining. Candidates must demonstrate an ability to critically read, understand, and interpret data from scientific publications. Experience with Linux-based HPC clusters is preferred, as is a background in genetics, molecular biology and functional studies. The successful candidate will be organized, detail-oriented, capable of maintaining focus on the big-picture (why we are doing what we are doing), and an effective written and verbal communicator. About MCW The Medical College of Wisconsin (MCW) is one of the largest healthcare employers in Wisconsin. We are a distinguished leader and innovator in the education and development of the next generation of physicians, scientists, pharmacists and health professionals; we discover and translate new knowledge in the biomedical and health sciences; we provide cutting-edge, collaborative patient care of the highest quality; and we improve the health of the communities we serve. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.