We are seeking qualified medical doctors to annotate and code clinical documents with SNOMED CT, with a focus on accuracy and consistency against detailed coding guidelines.
You will work asynchronously on a dedicated annotation platform, coding de-identified clinical notes and documentation including discharge summaries, lab results and progress notes against SNOMED CT concepts to support the development of clinical AI platforms.
This is a remote, flexible and short-term project.
Key ResponsibilitiesStructured Annotation: Identify clinically relevant concepts across discharge summaries, lab results and prognosis notes, and map them to the correct SNOMED CT codes on a dedicated platform.
Guideline Application: Work to a coding guideline covering hierarchy scope, negation, medication scope, section-level inclusions and compound coding, applied consistently across a large volume of documents.
Edge Case Handling: Flag ambiguous or contested cases with a short rationale so guidance can be refined.
Quality Review: Participate in adjudication rounds to resolve disagreements and reach a consensus code set.