🟒 Actively Hiring · 2d ago ⏳ Closes in 58 days πŸ‡¬πŸ‡§ UK Corridor πŸ›‘οΈ UK Work Eligibility 🏒 CONTRACT

Medical Doctor with SNOMED Coding Experience (UK)

🏒 Aptura · πŸ“ United Kingdom · πŸ•’ Oct 21, 2026 · Ref: OP-VERIF-489319C2
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Position Overview & Specifications

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 Responsibilities
  • Structured 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.

Qualifications:

License: GMC Registered Doctor based in the UK

Experience: Minimum 1–2 years of clinical practice, with SNOMED CT coding or clinical terminology experience.

Knowledge: Strong grounding in clinical documentation, terminology and coding conventions.

Attention to detail: Proven accuracy and consistency in coding or clinical review work.

Technical proficiency: Comfortable using structured annotation tools and digital platforms.

Language: Native or near-native written English.

Legal Status

You will have the right to work in your country of residence.

You will work as an independent contractor.

Why Join Us?
  • Flexible Work Arrangements: Part-time, remote and fully asynchronous.

  • Competitive Compensation: Hourly rate, paid weekly

  • Professional Development: Hands-on experience in clinical AI development and terminology work, shaping how AI systems interpret clinical records and assign medical codes.

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