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Closed listing

APeX Research Analyst

  • San Francisco, CA, United States

From $74 USD / hour

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
From $74 USD / hour
Experience
3-5+ years of Epic analyst experience
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Required Skills & Experience

  • 3-5+ years of Epic analyst experience
  • Hands-on experience supporting Epic Research modules/workflows
  • Experience working with: o Research Study Management o Research Enrollment o Clinical research workflows o Clinical research coordinators and research teams
  • Epic build experience in some of the following: o SmartTexts templates and SmartTools, Doc Flowsheets, Order Transmittal, OrderSets and SmartSets, Workflow Engine Rules, Role/Menu/Activity/Navigator setup, MyChart Questionnaires, Preference Lists, Facility Structure, Oncology Research Studies, Reporting Workbench, Synopsis and Radar Dashboards
  • Proficient in customizing Epic workflows, security templates, user workspaces, and dashboards to accommodate specific research requirements.
  • Epic Research Certification

Job Description

  • Meet with research stakeholders to gather requirements and understand workflow needs.
  • Analyze current research workflows and identify opportunities for improvement.
  • Build and maintain Epic research functionality including SmartForms, BPAs, SmartSets, OrderSets, MyChart Recruitment Messages, and e-Consents.
  • Configure and optimize documentation, enrollment, and research management workflows.
  • Troubleshoot research-related Epic issues and coordinate with technical teams on resolutions.
  • Support Research Study Management and Enrollment interfaces.
  • Develop test scripts, perform system testing, and validate new functionality.
  • Document workflows, system changes, and support processes.
  • Create and maintain reports, dashboards, and research-related reporting tools.
  • Ensure solutions align with regulatory requirements and research documentation standards.
  • Provide ongoing support and training to research end users.
  • Identify risks and proactively implement system improvements to enhance efficiency and data integrity.

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