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Bioinformatics Analyst I

  • 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: Purpose Under general supervision, assists in the development, maintenance and testing of genomic data applications which focus on the use of whole genome sequencing to uncover the etiology of rare disease. Primary Functions 1. Understand genetic and biologic principles to guide the analyses and interpretation of NGS data. Independently provides troubleshooting for data generation and processing. Implements triaging and generates reports. 2. Develops, implements, and refines bioinformatic workflows and tools for analyzing and visualizing NGS data. Emphasis on visual and quantitative integration of multiple NGS modalities (i.e. RNA-Seq and ChIP-Seq). 3. Adapts bioinformatics tools, visualization packages, and annotation resources for research projects to independently and accurately perform research analysis – flexibility and competency in data wrangling. 4. Maintains a professional level of knowledge of molecular biology and genetics, to maintain state-of-the-art analyses and workflows. Works closely with laboratory team to integrate NGS data to formulate biologic pathways 5. Leads the analysis and writing for a portfolio of projects and methods development. Contributes to collaborative research publications. Presents regular project updates at meetings with collaborators. 6. Development of automated analysis methods to assess data quality and features using appropriate statistical models and machine learning. 7. Operates, and troubleshoots, and improves analytic tools; notifies Supervisor when complex problems occur. Knowledge – Skills – Abilities This position requires strong cross-disciplinary and analytical skills, working knowledge of molecular biology, genetics, and statistics, as well as experience using tools for NGS data processing. Working experience with gene expression and epigenetic sequence analysis and algorithms is required. The successful candidate will join a productive team of researchers in developing more detailed and systematic understanding of how genetic variants alter epigenetic landscapes, how cells respond and reshape their gene expression in response (altered pathways), and how all 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 datamining. The successful candidate will work closely with wet-lab scientists to translate the information gained from NGS datasets to the design and implementation of functional tests to determine mechanisms of altered function. 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 (e.g. reporter assays, cellular imaging, etc.). 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. Preferred Schedule: Position Requirements: Specifications Appropriate education and/or experience may be substituted on equivalent basis Minimum Required Education: Bachelor’s degree Minimum Required Experience: No experience required Preferred Education: Masters Degree Field: STEM field 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.