Medical College Of Wisconsin - Milwaukee, WI
posted 4 days ago
The Medical College of Wisconsin (MCW) brings a synergy between the best medical education, research and patient care. Tomorrow's discoveries happen right here alongside the very people who bring those lessons to our students. Every bit of knowledge, and every advancement, provides our students with an unprecedented, collaborative learning environment, and helps improve the vitality and care of our communities. 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 leverage multi-disciplinary approaches, including Big Genomics Data, systems biology, computational biophysics, biochemistry, and structural bioinformatics, to develop a more comprehensive and integrated understanding of the underlying mechanisms of diseases. Focusing on rare diseases, our team continues to pioneer the methods to use AI-based tools such as protein structure prediction to model the multi-protein complexes that regulate the genome. This focus links our work between genetics and the structure of chromatin (i.e., epigenetics) - to understand how genetic differences alter how the genome is regulated and dysregulated to cause a group of genetic diseases termed chromatinopathies. The successful candidate will join our productive team in chromatinopathies research. They will use our established procedures, and work with our multi-disciplinary group of computational scientists, rare disease clinicians, laboratory technicians, and faculty, to operate the workflow and team-based process that we have developed. The goal of our program is to diagnose more patients and increase the information available to interpret genetic variation. We are seeking a motivated and skilled data scientist, who will thrive in a team environment where they will work collaboratively and independently to solve rare disease cases, analyze diverse data, and synthesize it in reports to the team and academic publication.
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