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The Roy Chowdhury Lab at the University of Chicago seeks a Bioinformatician to analyze large genomic datasets and identify factors contributing to protective immunity against Mtb. You will develop and implement software pipelines, transform omic data into usable formats, and support publications with data-driven insights.
You'll collaborate with researchers, manage data from databases and public repositories, and help design computational strategies to solve complex problems in a fast-paced
About the Department The Section of Genetic Medicine continues to shape the future of personalized medicine with successful research programs focused on the quantitative genetic and genomic science. The Section provides extremely valuable collaborations with investigators in the Department of Medicine who are seeking to develop new and more powerful ways to identify genetic risk factors for common, complex disorders with almost immediate clinical application. The Section of Genetic Medicine conducts impactful investigations focused on quantitative genetics, systems biology and genomics, bioinformatics and computational biology as well as through extensive collaborations of the faculty throughout the Department of Medicine, Biological Sciences Division and the University of Chicago.
The Roy Chowdhury Lab is looking for a Bioinformatician to work on the analysis and interpretation of large genomic datasets for research projects aimed at identifying factors that contribute to protective immunity against Mtb. The Bioinformatician is also expected to work on other ongoing projects in the lab. The Bioinformatician will perform general bioinformatics analysis for projects primarily involving omics data and support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems. The incumbent will manage data including loading and querying data from database system and public repositories and transform and merge multilevel omic data into user-friendly formats, develop software pipelines, provide preliminary interpretation of the data, and reports of the results for possible publications. The incumbent will also work in collaboration with others working to complete projects in a timely and efficient manner.
Research Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt
Pay Range $80,000.00 - $110,000.00 The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
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