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proficiency in Microsoft Suite. Experience in data mining techniques and statistical analysis; experience with healthcare databases (NDNQI and Press Ganey preferred). Knowledge of statistics and able
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include social link analysis, opinion mining, and smart recommender systems. The language of instruction is Python. Candidates must have significant experience in data science, communication and/or a track
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to external sources such as CMS, the Joint Commission, STS, etc., providing end user education and support for data queries and data mining activities. • Knowledge of policy, practice standards, regulatory and
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Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and computational tools for analytics (proficiency with Python, R, and SQL is a plus). At a minimum, candidates
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analyses including tables and figures for presentations and publications. Compiling data sets for analyses, including combining some datasets from different sources. Conducting statistical data analysis
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image analysis, statistical analysis, bioinformatics, big data, multimodal MRI, methods development in MRI, or data mining techniques. The selected candidate will be part of USC Mark and Mary Stevens