275 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" positions at Emory University in United States
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contribute to the excellence of our academic community. JOB DESCRIPTION: Data Scientist is responsible for mining and analyzing data from various internal and external data sources to drive optimization and
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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Reporting to the Information Desk Library Manager, the Senior Information Desk Associate, provides basic reference assistance
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. Gathers information and provides estimates for project completion. Contacts and manages relations with outside contractors for project completion. Coordinates project from proposal stage through
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contribute to the excellence of our academic community. The Clinical Research Data Coordinator I supports the research program within the Clinical Trials Office (CTO) of Winship Cancer Institute (WCI) at Emory
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; and a personalized care experience aimed at easing the burden of cancer. Winship is Where Science Becomes Hope®. For more information, visit winshipcancer.emory.edu. Winship is seeking qualified
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contribute to the excellence of our academic community. Decision Support Data Analyst, Sr (EHP) plays a pivotal role in transforming complex data into actionable insights that drive better clinical decision
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contribute to the excellence of our academic community. The Business Analyst II – Data Analysis Focus plays a critical role in bridging the gap between business needs, data quality, and information systems
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contribute to the excellence of our academic community. JOB DESCRIPTION: Works as a positive team member of a project that may consist of Business Analysts, Project Managers, Information Architects, Data
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contribute to the excellence of our academic community. This position leads highly complex technical teams that may include Business Analysts, Project Managers, Information Architects, Data Analysts, and
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contribute to the excellence of our academic community. The data analyst will clean, preprocess, and analyze datasets using statistical methods. Tasks include developing scripts in R or Python, generating