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The team is in charge of Compute and Data Infrastructure for clinical and research analytics use cases, which include High-Performance Computing (HPC), Artificial Intelligence, (AI), Machine
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and digital analytics tools to track media coverage, social media engagement, website traffic, audience sentiment and competitor activities, providing comprehensive insights. Generate regular, data
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University of California, Los Angeles | Los Angeles, California | United States | about 17 hours ago
JOB DUTIES Description The Quality & Safety Officer Lead at the UCLA Olympic Analytical Laboratory is responsible for overseeing and enhancing laboratory processes to ensure the generation
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provide an efficient analytical service for users of the Facility, performing analyses for users, give advice to others regarding sample preparation, experimental design and data interpretation, actively
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Posting Details Posting Details Posting Number NA01557 Position Information Position Title Assistant Director, Financial Planning and Analytics State Employment Status Full Time Position Status
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facilities and will contribute to projects spanning fundamental materials development to applied pilot-scale systems. Responsibilities of the position include conducting experimental and/or analytical research
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programming Strong business intelligence and data analytics skills Ability to communicate technical concepts clearly to both technical and non-technical audiences Comfortable managing multiple priorities and
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collaboratively in a diverse team environment. Previous experience in data analytics and workflow improvement is advantageous. Familiarity with higher education policies and accreditation standards is beneficial
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lead and support advanced statistical analyses of trial and large-scale administrative datasets, including Medicare and Medicaid claims, electronic medical records (EMR), and/or other health-related data
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enhancements Process redesign and standardisation Drive continuous improvement of HR services to enhance efficiency and employee experience. Leverage HR data and analytics to support decision‑making and