Clinical Systems Imaging Analyst I - Radiation Oncology

Stanford Health Care•Palo Alto, CA
•$54 - $72

About The Position

The Application Analyst I is an entry-level role that implements, administers, and supports assigned systems under the general guidance of senior team members. The position builds foundational knowledge of Epic modules, ancillary systems, and health system operations. It is designed as a developmental role: over approximately 2–3 years, the employee is expected to progress from closely guided foundational work to independently competent support and basic build activity, developing the technical and workflow knowledge needed for promotion to Application Analyst II. The role provides tier-2 application support, routine production monitoring and troubleshooting, and assistance with low-complexity implementations, upgrades, enhancements, testing, and documentation. The analyst collaborates with customers, senior analysts, and other information technology teams while completing structured onboarding, shadowing, and clinical application training or certification. The position also develops basic AI literacy and uses approved AI-enabled tools under guidance.

Requirements

  • No prior healthcare IT or analyst experience is required.
  • Bachelor's degree preferred in Information Technology, Computer Science, Business or Health Administration, Management Systems, Technology, Health Information Management, or a directly related field from an accredited college or university; five years of work experience in a healthcare or general office setting may substitute for the degree requirement.
  • Mid-level Microsoft Office skills.
  • Ability to diagnose and resolve routine technology problems.
  • Ability and desire to learn to resolve specialized and advanced technology problems.
  • Basic AI literacy, curiosity about emerging technologies, and willingness to learn and apply AI-enabled tools in daily work.
  • Growth mindset and willingness to try, ask for help, receive feedback, and build new skills.
  • Ability to establish tasks and activities associated with an intended outcome and timeline.
  • Ability to take action consistent with available facts, constraints, and anticipated consequences.
  • Ability to communicate with coworkers and customers tactfully and professionally.
  • Ability to select effective courses of action, develop appropriate solutions, and reach conclusions.
  • Ability to develop new skills and teach others.
  • Ability to collaborate and build consensus with stakeholders.
  • Ability to understand and adhere to operational standards, policies, and procedures.
  • Ability to identify risks and issues.
  • Ability to develop solutions for new and unfamiliar challenges.

Nice To Haves

  • Relevant internship, help desk, clinical, or office experience.

Responsibilities

  • Provide tier-2 support for application incidents reported through the help desk.
  • Perform daily monitoring of applications in production use.
  • Troubleshoot, support, and maintain applications during the assigned shift.
  • Take ownership of low-complexity issues and liaise between customers and other support staff to facilitate resolution.
  • Assist with implementing low-complexity tools and workflows.
  • Assist with software upgrades and enhancements to existing workflows.
  • Modify tables and master files and make additions and changes under senior team members' direction.
  • Implement changes using documented procedures that comply with department policies and procedures.
  • Shadow senior analysts on workflow analysis and issue triage while building analytical skills and increasing independence.
  • Assist with testing for new implementations, enhancements, and upgrades.
  • Document routine workflows and support activities using established templates and standards.
  • Coordinate application support with Infrastructure, Integration, Enterprise Analytics, and the help desk.
  • Participate in team and cross-team meetings and maintain appropriate meeting records.
  • Complete structured onboarding, shadowing, and Epic or other clinical application training and certification activities.
  • Use approved AI-enabled tools under guidance to support documentation, research, and routine troubleshooting.
  • Pursue stretch opportunities and take on incrementally more complex work as skills develop.
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