125 parallel-processing-bioinformatics uni jobs at University of Kansas Medical Center
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Department: SOM KC Plastic Surgery ----- Plastic Surgery Position Title: Assistant Professor - Plastic Surgery: Plastic and Reconstruction (Microvascular) Job Family Group: Academic Job Description
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Department: SOM KC General Surgery ----- Surgery General Position Title: Education Instructor - SOM KC General Surgery Job Family Group: Academic Job Description Summary: The Faculty Educator Track
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Department: SOM KC General Surgery ----- Surgery General Position Title: Assistant Professor - Surgery General Job Family Group: Academic Job Description Summary: Assistant Professor in
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Department: SOM KC General Surgery ----- Surgery General Position Title: Education Instructor - SOM KC General Surgery Job Family Group: Academic Job Description Summary: The Faculty Educator Track
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Department: SOM KC Otolaryngology (ENT) ----- Faculty Position Title: Vice Chair of Research - Department of Otolaryngology-Head and Neck Surgery Job Family Group: Academic Job Description Summary
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and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
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informatics, clinical research, and translational resources such as UMLS, i2b2, REDCap, vivoweb, clinical trial systems, and human subjects research processes (IRB). Knowledge of clinical trials, ICH/GCP and
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to various CBS customers. Responsibilities include supporting the financial planning process, reviewing, and approving financial transactions according to a defined budget/forecast, and providing customer
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the operational business units for the institution. This position is responsible for business services including administrative support of HR and business processes, financial management, analysis and consultation
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, primarily using Tableau or R. Analyze existing databases, reports, and processes for opportunities to automate further or simplify utilizing BI tools. Analyze data within various databases (Oracle, SQL Server