Clinical Systems Imaging Analyst I - Radiation Oncology

Stanford Health Care•Stanford, CA
•$54 - $72•Hybrid

About The Position

The Application Analyst I is an entry-level role in the Application Analyst family. Under the general guidance of senior team members, the position implements, administers, and supports assigned systems while developing foundational knowledge of Epic modules, ancillary systems, and health system operations. Over approximately 2–3 years, the incumbent is expected to progress from closely guided foundational work to independently competent support and basic build activity, preparing for promotion to Application Analyst II. The role provides tier-2 application support, helps implement and upgrade tools and workflows, assists with testing and documentation, and coordinates with other information technology teams. It also includes structured onboarding, shadowing, clinical application training or certification, and guided use of approved AI-enabled tools for daily work. The position is a full-time, day-shift role based in a hybrid work arrangement at Stanford Health Care in Palo Alto, California.

Requirements

  • 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, including 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 act consistently with available facts, constraints, and anticipated consequences.
  • Professional interpersonal skills for tactfully giving and receiving information from coworkers and customers.
  • Ability to choose a course of action, develop solutions, and reach conclusions effectively.
  • 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 and develop solutions for new and unfamiliar challenges.
  • No prior healthcare IT or analyst experience is required.
  • A bachelor's degree is 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.

Nice To Haves

  • Relevant internship, help desk, clinical, or office experience is a plus.
  • Bachelor's degree in a related field is preferred.

Responsibilities

  • Provide tier-2 support for application incidents reported through the help desk.
  • Monitor applications in production daily and troubleshoot, support, and maintain applications during the assigned shift.
  • Own low-complexity issues and liaise between customers and other support staff to facilitate resolution.
  • Assist with implementation of low-complexity tools and workflows, 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 developing 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, the help desk, and other information technology teams.
  • Participate in team and cross-team meetings and maintain appropriate meeting records.
  • Complete structured onboarding, shadowing, and Epic or other clinical application training or certification activities.
  • Learn new tools, workflows, and technologies by asking questions and seeking feedback from senior team members.
  • Develop basic AI literacy and use approved AI-enabled tools under guidance for documentation, research, and routine troubleshooting.
  • Pursue stretch opportunities and incrementally take on more complex work as skills develop.
  • Adopt and execute C-I-CARE standards and support an exceptional patient and family experience.
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