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Posted 05 January, 2026

Medical/Clinical Coding Specialists (SNOMED) Required for AI Project

Mentis AI
Edinburgh, City of Edinburgh EH1, United Kingdom Contractor
Reference: 1956586474

We are seeking medical or clinical coders to assist in coding medical questionnaires to SNOMED codes on a dedicated labeling platform. You will work...

We are seeking medical or clinical coders to assist in coding medical questionnaires to SNOMED codes on a dedicated labeling platform.

You will work asynchronously to code the de-identified data from patient questionnaires, helping train and refine AI models for automated clinical coding.

Key Responsibilities:

Questionnaire Coding & Mapping: Map each patient questionnaire item (5-15+ per questionnaire) to SNOMED codes, including medications, conditions, allergies, reactions, side effects, and severity indicators.

Quality Assurance & Data Structuring: Ensure consistent and accurate application of medical codes following provided guidelines and project standards.

FHIR Data Integration: Support mapping of coded data to FHIR-compliant structures (training and guidance provided).

Platform-Based Labeling: Use a dedicated labeling platform to review, code, and validate data efficiently.

Feedback & Collaboration: Provide feedback to improve coding guidelines, identify ambiguities in source data, and improve AI-assisted mappings.

Qualifications:

Medical coding experience: Minimum 1 year of professional experience in medical coding.
Coding knowledge: Demonstrated experience in SNOMED coding; if not, a strong grasp of standard medical coding systems (ICD, CPT, LOINC, etc.) and principles is required.
Attention to detail: Proven track record of accuracy and consistency in clinical data coding.
Technical proficiency: Comfortable using structured data labeling tools and digital platforms.
Language: Professional working English proficiency for written deliverables.

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: Short-term, fully remote project (estimated duration 1-2 months).
Competitive Compensation: Hourly rate paid out weekly
Collaborative Environment: Be part of a multidisciplinary initiative advancing automation in clinical coding.

This listing expired on 04 Feb. Applications are no longer accepted.

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