More jobs:
Medical/Clinical Coding Specialists; SNOMED AI Project
Job in
Greater London, London, Greater London, EC1A, England, UK
Listed on 2026-01-13
Listing for:
Mentis AI
Full Time
position Listed on 2026-01-13
Job specializations:
-
Healthcare
Medical Billing and Coding
Job Description & How to Apply Below
Location: Greater London
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.
- 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.
You will have the right to work in your country of residence.
You will work as an independent contractor.
- 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.
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