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. Professional experience and proven success performing clinical workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption
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data science and computing topics to accelerate the widespread use of Computer Science tools and infrastructure in diverse fields. 4) Use data mining, statistical, machine learning, text and graph
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optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology. In-depth knowledge of all relevant clinical informatics software and
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venues, community partners, and target populations in order to devise and implement market penetration strategies. *Collaboration with Admissions and Data Analytics teams to create filters and mine data
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, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology. In-depth knowledge of all relevant clinical
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insightful data-driven analysis. Extensive demonstrated experience mining data from multiple sources and databases using SQL, Access, pivot tables and other query tools. Strong knowledge of relevant internal
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satellite platforms, and vector data from static and live streaming data sources). The incumbent will also use data mining and graph analytics methods and software libraries, computational workflows, cloud
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wide spread use of Computer Science tools and infrastructure in diverse fields. They will use data mining and graph analytics methods and software libraries, computational workflows, cloud computing
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the UCSDH Information Services reporting team to develop reports and dashboards. Performs predictive analysis and forecasting to provide information that supports organizational goals. Mines data to quantify
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workflows, user interface optimization, clinical decision support, rules development, data integration and mining, clinical ontologies and adoption of technology. Five (5) years of experience with Microsoft