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areas. Develop and implement advanced analytical approaches using programming and data science tools (e.g., Python, R). Co-supervise and mentor PhD, MD, Master’s, and Bachelor’s students. Contribute
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https
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data systems. Support the preparation of reports, manuscripts, and grant applications for investigators under the supervision of Assistant Director of Data Science. Develop and maintain Python and R
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, mechatronics, robotics, Computer science, or a related field Experience in machine learning, computer vision, signal processing, or condition monitoring Strong programming skills in Python and experience working
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in robotics, social force modeling, simulation, robot navigation. Proficiency in programming software/languages such as Python and C++ is required. Proven track record and professional experience in
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medicine. · Analyze and interpret complex multiomics datasets, including bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq), and spatial transcriptomics data using R, Python, and advanced
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serving as a trusted advisor to executive-level data leaders and government practitioners. Knowledge of common data analytics tools (e.g., SQL, Python, Tableau), cloud data infrastructure, and data
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driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets
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). Familiarity with one programming language, particularly Python, is desirable but not required. An interest and willingness to learn new methods. A willingness to self-initiate troubleshooting of technical
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driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software. Publish codebooks and datasets