Knowledge Engineer

Role - Knowledge Engineer

Location - San Francisco, California/ Remote

Experience - 8+ Years

Job Description


  • A minimum of three years’ experience in clinical informatics, clinical knowledge development or clinical knowledge testing

  • Experience with the application of clinical informatics, including definition and implementation of clinical data models; and creation and management of computable clinical rules

  • Experience with clinical decision support or quality measurement in electronic medical records or population health platforms

  • Experience programming in the Clinical Quality Language (CQL)

  • Experience programming in Python or Clojure


  • Translate qualitative clinical guidelines, logic, and required data input into executable knowledge artifacts represented as CQL expressions against FHIR data.
  • Build and execute unit test cases to validate knowledge artifacts
  • Develop and test computable knowledge artifacts with large data sets
  • Manage and track the progress of computable knowledge artifacts through a predefined development process.
  • Respond to ad-hoc analysis requests while supporting core pipeline development.
  • Develop new tools and solutions to support artifact development and testing processes
  • Drive the team’s business results through data-based insights and the ability to engage with a wide range of stakeholders and functional teams.
  • Identify inefficiencies, optimize processes and dataflows, and make recommendations for improvements.

Specific Skills and Knowledge

• Demonstrated performance in framing ambiguous business problems and driving toward a solution hypothesis, while working independently to resolve issues.

• Meticulous with strong analytical and critical thinking skills.

• Demonstrated experience in proactive communication across all levels of the business hierarchy

• Expertise in dealing with large datasets using analytical approaches and quantitative methods

  • Demonstrated expertise in the CQL programming language for complex clinical analysis

Thanks and Regards

Pritpal Singh