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, including operational, technical, and administrative responsibilities Implement data models and database designs Provide data access and security activities Resolve database performance issues Manage database
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and responsibilities include: 1) handling large data sets with samples sizes greater than a million data points, 2) leading and collaborating in study design and analysis, 3) publishing peer-reviewed
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and innovative approaches to big-idea fundraising, including engaging with advancement colleagues and university partners in the ideation and proposal development for these big ideas. Develop themes
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: Analytical Solutions, Big Data Analytics, Clinical Support, Communication, Computer Literacy, Data Management, Interpersonal Relationships, Organizational Leadership, Public Health Research, Qualitative
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with large tech AI companies, Pharma AI/IT groups, and Academic collaborators. Build and optimize scalable training and inference pipelines for structured and unstructured biomedical data. Collaborate
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capacity to hold over 30,000 cages of rodents. Additionally, our entire biomedical research program continues to grow in size and funding for support of our existing programs in large animal, non-human
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Analysis, Business Case Development, Business Process Analysis Tools, Consultative Approach, Cost-Benefit Analysis (CBA), Data Development, Data Processing, Higher Education Technology, Large Scale IT
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solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including design of research protocols and development of procedures for the collection
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diseases as part of the Washington University Undiagnosed Diseases Network and other WashU local rare disease projects. This role focuses on working with large genomic datasets to analyze data from whole
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patients for eligibility, consenting patients to participate, assisting with study protocols, blood processing, data collection and abstraction, and directing the work of other research staff, providing