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. The COA has approximately 33 faculty, 8 main campus staff, 18 University Farm Staff, and 70 student employees (campus and Farm), and a complex state budget of approximately $4,800,000 annually
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management and analysis across a complex organization and success bringing innovative pilot projects to scale. ? Strong data analytics, project management, communication skills, creative thinking, and the
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sequencing and other complex biological datasets. The purpose of this position is to translate large, heterogeneous data streams into reproducible, biologically meaningful insights that support the lab’s
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of themselves. The Senior Scientist will be responsible for both specific research projects as well as the oversight of the computational infrastructure and computational code and data analysis standards
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presentations to HR and University stakeholders. Produce annual and longitudinal workforce reports. Senior HR Data Analyst additional responsibilities: Lead complex data analysis initiatives including forecasting
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findings. Respond to internal and external data requests of varying complexity in a timely fashion. Acquire and maintain a deep understanding of university data and how its integration and analysis can
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
. Contacts are both internal and external to the department. The Financial and Administrative Analyst is responsible for complex financial analysis for one or more Divisions in the Department of Pediatrics. As
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assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic
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well as industry regulations. Performs data migration and integration tasks across multiple systems, maintaining data integrity and accuracy. Analyzes complex business problems using data-driven approaches and
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the facility. Provide expert-level user support, including training on instrument operation, assisting with sample preparation, method optimization, and complex data analysis. Adapt and optimize advanced