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, audiovisual collections, and born digital or electronic records. • Collaborates with department colleagues and RL collectors to plan for and receive materials entering the Archival Processing queue
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. Preferred Qualifications Three (3) years of customer service and/or call center experience Recent experience with EMR, specifically EPIC, including In Basket and Work Queues Training or equivalent recent
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is $29.68 - $42.48 (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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the AR follow-up work queues (WQ) and proposes both short and long-term enhancements that support business needs. Assists manager with maintaining payer scorecards, creating payer meeting agendas, and
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(SRG), manages escalation work queues (WQs), and serves as a resource for resolving complex issues. The Team Lead triages unresolved payer problems to the supervisor when appropriate, reports payer
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located in Epic work queues. Other duties as assigned. Salary Information: Commensurate with education and experience Required Documents to Apply: List of three Professional References (name, email
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departments. Maintains compliance with UCSF policies, confidentiality standards, and revenue cycle requirements. Monitors work queues, resolves patient concerns, and supports timely access to care. Serves as a
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, requests and appointments. Monitor purchasing queue daily and review purchase requests for compliance; assist requestors with completing procurement process (e.g. obtaining official quotes, sole-source
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environments (Slurm, job queue management), use of containers (Docker/Singularity), and reproducible analysis. - Experience in structural modelling and in silico drug discovery, including virtual screening
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degree in Engineering or a PhD) • Extensive knowledge of Computational Fluid Mechanics (typically a Master’s degree in Engineering or a PhD) • Experience with supercomputing clusters and queueing systems