Bioinformatics Analyst I
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Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW ... changemaking for a healthier Wisconsin. In the role of a Bioinformatics Analyst I you will be working in the Mellowes Center for Genomic Sciences and Precision Medicine. Our unique program focuses on how to interpret genetic variations that cause human diseases. We take a proteogenomic approach, developing the processes to apply computational biochemistry, computational biophysics, and more, to individualize genomic data interpretation to specific clinical and research cases. The team leverages multi-disciplinary approaches, including Big Genomics Data, systems biology, computational biophysics, biochemistry, and structural protein bioinformatics, to develop a more comprehensive and integrated understanding of underlying mechanisms of diseases. The successful candidate will join our productive team in using our established computational structural genomics workflow and team-based process that we have developed. Specifically, we are looking for an individual that has experience with computational modeling tools (e.g., molecular dynamics simulations, molecular mechanics calculations, etc.), and ideally a background in basic genetics and biology. The ability to effectively communicate within a diverse team is critical, including to present findings, work collaboratively, generate publication-quality figures, adapt to priorities, discuss barriers to progress as they are identified, and be flexible with regard to the technologies used so that we can efficiently accomplish our scientific and translational research goals.
Knowledge, Skills, and Abilities This position requires strong analytical skills, working knowledge of molecular biology, biophysics, and statistics, as well as experience using tools for molecular simulation, visualization, and analysis. Most of all, the successful candidate will be highly motivated to learn and be part of our ongoing work to pioneer our lab's work to apply molecular modeling to interpret human genetic variation's effects. Working experience with structural bioinformatics tools and algorithms is required (either in the command line or IDEs). The successful candidate will join a productive team of researchers in triaging modeling cases, generating molecular models for targets that pass triaging, assessing protein function and structural features through literature survey and structural bioinformatics, generating molecular simulations, and analyzing the resulting data for their molecular and biological meaning. The successful candidate will receive training on the established workflow and modeling process, with opportunities to improve and expand the workflow, especially in the automation of machine learning and statistical mechanics approaches to evaluating protein structural and Molecular Dynamics data. At the same time, the priority for the current position is to apply our workflow to more clinical and research cases, cohorts, and population-level modeling. Candidates must demonstrate an ability to critically read, understand, and interpret data from scientific publications. Experience with Linux-based HPC systems is preferred but not required. The successful candidate will be organized, detail-oriented, and an effective written and verbal communicator.
Why MCW?
For a full list of positions see: www.mcw.edu/careers For a brief overview of our benefits see: https://www.mcw.edu/departments/human-resources/benefits Eastern Wisconsin is a vibrant, diverse metropolitan area. MCW is intent on attracting, developing, and retaining a diverse workforce and faculty body that reflects the community we serve. We value diversity of backgrounds, experience, thought, and perspectives to advance excellence in science and medicine. MCW is a welcoming campus community with a strong culture of collaboration, partnership, and engagement with our surrounding community. For more information, please visit our institutional website at https://www.mcw.edu/departments/office-of-diversity-and-inclusion.
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