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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Independently manages significant and key aspects of a large clinical trial or all aspects of one or more small trials, or research
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partnership with School of Medicine (SOM) and DAR leadership, accountable for ensuring that administrative systems, workforce processes, regulatory documentation, and data governance structures support DAR’s
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activities associated with the conduct of clinical trials. Manages a large or multiple smaller clinical research projects. Manages clinical trials related information systems. Supervises the implementation
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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Independently manages significant and key aspects of a large clinical trial or all aspects of one or more small trials, or research
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discrepancies Experience extracting, validating, and normalizing large datasets for analysis and reporting Strong systems-thinking mindset — able to understand upstream and downstream impacts of financial data
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, SQL Server, MySQL, PostgreSQL) Python or similar scripting language proficiency Data Engineering & Architecture: Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
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, organizational development, and student involvement initiatives, including signature programs and large-scale experiences. (Examples may include SOAR Awards, Presidents' Institute, Student Involvement Fairs, and
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currently seeking an Animal Care Supervisor to join our team. Our work consists of providing husbandry and care for a large colony of nonhuman primates in an open campus type setting. In
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contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Independently manages significant and key aspects of a large clinical trial or all aspects of one or more small trials, or research
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integrations. Background in data quality improvement projects or large-scale data cleanup. Familiarity with ServiceNow, Censinet, Kinetic, or similar platforms. Master’s degree in a related field. Experience