Bioinformatics Analyst I
![]() | ||||||||||||||||||||||||||||||
![]() | ||||||||||||||||||||||||||||||
![]() United States, Wisconsin, Milwaukee | ||||||||||||||||||||||||||||||
![]() | ||||||||||||||||||||||||||||||
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 our 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. For the current employment opportunity, we are seeking a data analyst who is familiar with the AllofUs Workbench platform, capable in basic epidemiology analysis, and proficient at data visualization and summarization. The successful candidate will join our productive team in chromatinopathies research. They will 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. We are seeking a motivated and skilled data scientist, who will thrive in a team environment where they will work collaboratively and independently to analyze diverse data and synthesize it in reports to the team and academic publication.
Knowledge, Skills, and Abilities This position requires strong analytical skills, working knowledge of genetics and molecular biology, as well as experience using tools for querying, visualizing, and exporting from the All of Us Workbench. Most of all, the successful candidate will be highly motivated to learn and be part of our ongoing work to pioneer the new field for interpreting the effects of human genetic variation. Working experience with basic data modeling with healthcare data, such as epidemiology, is preferred. As the lab is actively working in this application area, the successful candidate will receive training in on the established workflow and modeling process, with many opportunities to improve and expand the workflow. At the same time, the priority for the current position is to help our labs move towards population-level modeling by acting as a researcher and data liaison to the All of Us and possibly additional national and international repositories. Candidates must demonstrate an ability to critically read, understand, and interpret data from scientific publications. 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.
|