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roadmap. Projects available can be in areas of analytics delivery, data governance, AI usage, cloud strategy, and more. Interns will gain hands‑on experience across the end‑to‑end data and AI lifecycle
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quality assurance procedures, including audits, validation checks, and version control. Assess data quality and completeness, address data limitations, and prepare analytic files for use by research teams
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, address data limitations, and prepare analytic files for use by research teams. Ensure all datasets meet standards for reproducibility and documentation required for publication and data sharing. 2. Lead
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and analytics resource across multiple studies, responsible for the design, development, validation, and oversight of research datasets and data systems. The position requires advanced expertise in
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of laboratory and online analytical instruments. This role is integral to maintaining high-quality data streams that underpin research in areas such as seawater electrolysis, water parameter sampling
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Under the general direction of the Computational and Data Scientist Supervisor, the Senior Data Scientist supports strategically important initiatives within UC Davis Health’s Health Analytics Core
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strategy, improve data quality, and enhance the university’s ability to leverage analytics for planning and performance. Major Responsibilities/Duties/Critical Tasks Lead advanced data analysis to support
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Classification Title: Data Scientist II Classification Minimum Requirements: A Bachelor’s Degree in data science, statistics, bioinformatics, analytics, or similar field and three years
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‑specific research questions into clearly defined analytic problems, ensuring that study aims, hypotheses, and data structures are appropriately aligned with proposed statistical methods. The research
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analytic workflows on an active NIH-funded research grant. Applicants should have a bachelor’s degree in an analytic field (data science, AI, or bioinformatics) and demonstrate familiarity with R and Python