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advanced genome-editing tools. In parallel, we develop in-house sequencing technologies to dissect epigenetic and epitranscriptomic modifications at the molecular level, along with high-throughput platforms
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of human tissue, spatiotemporal characterization of the immune system, and stable-isotype tracing in patients. Bioinformatic support and access to all Core facilities at the University of Chicago
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. Through our disease-focused clinics we offer an inter-disciplinarily approach to patient care that provides access to the most current therapies and to the resources of the University. In parallel with our
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across the university in such areas as bioinformatics, data science, mathematics, molecular engineering, linguistics, statistics, public policy, and social science, among others: the University’s culture
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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including research
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parallel scheduling frameworks and operates the Scalable Systems Laboratory, a cloud-native software testing platform for the NSF Institute for Research and Innovation in Software for High Energy Physics
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disease risk. • Multi-omics analysis to reveal biological processes underlying disease phenotypes. • Statistical and AI/ML method development to enhance and expand the approaches above. • Software and
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combinations, and metastasis assays using murine models. Conduct multiparameter flow cytometry and cell sorting to characterize immune populations in tumors, lymphoid organs, and metastatic sites. Process and
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-seq, GRO-seq, and RNA-seq. CRISPR genetic engineering. Rapid protein degradation using Degron system. Bioinformatics. Cardiac functional analyses. Mouse genetics. Lentivirus transduction. Cell culture
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and skills developed through < 2 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Advanced degree in Computer Science, Bioinformatics