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Experience: Experience with large physiological data sets and computational modeling. Preferred Competencies Excellent written and verbal communication skills. Ability to work independently and
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for support of research, training, and other sponsored activities at the University of Chicago as well as for large complex portfolios. External funding to the University that is managed by University Research
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Policy developing effective public policy is a science, based on data and measurable impact. Addressing today’s interconnected, global challenges requires rigorous inquiry. It also requires innovative
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to analyze large data sets, identify business opportunities and quantify risks. Supports advanced analytics including prescriptive and predictive analyses. Develops virtual team building platform to connect
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maintenance of tissue culture room and flasks, maintaining and distribution of cell lines in tissue culture, molecular biology tasks including site-directed mutagenesis, subcloning into plasmids, and large
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diplomacy and enthusiasm. Absorb large amounts of information quickly. Adaptability to changing working situations and work assignment. Application Documents Resume/CV (required) Cover Letter (required) When
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Policy developing effective public policy is a science, based on data and measurable impact. Addressing today’s interconnected, global challenges requires rigorous inquiry. It also requires innovative
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. Ability to read and understand complex documents (e.g., clinical trials). Ability to handle competing demands with diplomacy and enthusiasm. Ability to absorb large amounts of information quickly
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The University of Chicago Academic Jobs Research Assistant Professor in Analysis of Biomedical Data #FMD015 Department of Family Medicine, Biological Sciences Division Position Type: Other Academic
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of relevant research experience; experience gained in school counts towards requirement. Working knowledge with large and complex datasets. Experience with data merging and cleaning strongly preferred