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Field
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supports the University of Chicago and external researcher through experimental design, custom analyses, and data visualization, while also developing rapid, same-day quantitative assays to help clinicians
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analysis and machine learning techniques Ability to support non-bioinformaticians and deliver training in WGS data analysis. Skills in data management, visualization, and statistical analysis. Proven
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and targeted panels Perform genomic analyses of natural saturation mut agenesis Perform mutational data analysis, visualization and modeling Contribute to manuscript preparation Contribute to data
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resonance imaging (fMRI) at the Center for Medical Image Science and Visualization (CMIV). MRI-compatible stimulation equipment is being installed at CMIV in autumn 2026 as one of the first set-ups of
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sequencing and other NGS-based data from patients, including mutation calling and detection of mosaic mutations. The work may also include statistical analyses and data visualization to identify and
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metabolic pathways and targets. Data analysis and integration using R and/or Python, including statistical analysis, visualization, and multi-omics data handling in collaboration with the team. Collaborating
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production Aptitude in scientific writing, data visualization and interpretation Advanced modeling/programming skills Proficiency with environmental remote sensing and interpretation Familiarity with HYDRUS
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through peer-reviewed publications. Programming experience in Python or similar environments for data analysis, visualization and/or automation. Innovative experimental skills with experience in
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methods. Develop data visualization products and synthesize findings to support research conclusions. Essential Function Yes Percentage of Time 25 Job Duty Grant Support, Publications, and Scientific
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products for analysts, sponsors, or policy audiences, including interactive visualization or exploratory user interfaces. Record of peer-reviewed publications, conference presentations, or other research