402 information-security "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of California San Francisco
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bargaining agreement. The salary range for this position is $29.68 - $42.48 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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bargaining agreement. The salary range for this position is $84.78 - $109.85 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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and maintain QC materials and data; Assists in training of Clinical Laboratory Scientists, Clinical Laboratory Scientist trainees, limited license trainees, Hospital Laboratory Technicians, residents
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is $32.86 - $41.01 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits
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within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor
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database environment. This role ensures the reliability, scalability, and security of the Epic database platform supporting UCSF's electronic health record system. The Senior ODBA oversees the installation
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(EHR) system's infrastructure. This role is crucial in ensuring that the Epic system operates efficiently, securely, and reliably. The Epic Client Systems Administrator works closely with the Senior Epic
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bargaining agreement. The salary range for this position is $73.82 - $100.64 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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bargaining agreement. The salary range for this position is $84.78 - $109.85 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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: 88419BR Will gain experience in: * Building automated data pipelines between source departments and the enterprise data warehouse. * Working with large-scale HR and workforce data models in Scuba