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Clinical Informatics Specialist IV

UCLA Health
Flexible Hybridfull_timeVerifiedPosted 19 Aug 2026

About the role

General Information

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Work Location: Los Angeles, CA, USA
Onsite or Remote
Flexible Hybrid
Work Schedule
Monday-Friday, 8:00 am - 5:00 pm
Posted Date
08/17/2026
Salary Range: $108900 - 241500 Annually
Employment Type
2 - Staff: Career
Duration
Indefinite
Job #
32012

Primary Duties and Responsibilities

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Drive innovation at the intersection of healthcare, analytics, automation, and artificial intelligence.

The Clinical Informatics Specialist IV plays a critical role in advancing UCLA Health's analytics and technology strategy by designing and delivering intelligent, workflow-driven solutions that transform clinical and operational processes. This position combines advanced expertise in data analytics, data modeling, and solution architecture with experience leveraging automation, AI-powered technologies, and agent-based systems to improve organizational performance and decision-making.

In this role, you will partner with clinical, operational, business intelligence, and enterprise analytics teams to translate complex business challenges into scalable, data-driven solutions. You will design, develop, and optimize modern analytics capabilities that leverage enterprise data platforms, automation frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and enterprise technologies such as Salesforce to create meaningful operational efficiencies and actionable insights.

This is an exciting opportunity for a technically skilled and strategically minded professional who enjoys solving complex problems, driving innovation, and delivering high-impact solutions that enhance healthcare delivery and business operations.

What You'll Do

  • Design and implement intelligent, workflow-driven solutions that improve clinical, operational, and business processes across the organization.
  • Translate complex workflows and business requirements into scalable analytics, automation, and AI-enabled solutions.
  • Develop and optimize data models, SQL-based analytics solutions, and scalable data assets that support reporting, operational intelligence, and decision-making.
  • Build and operationalize automation capabilities, agent-based systems, and AI-powered solutions that enhance efficiency, productivity, and insight generation.
  • Leverage modern analytics platforms, enterprise data ecosystems, and emerging technologies, including large language models (LLMs) and retrieval-augmented generati

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Company

UCLA Health

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