Medical/Clinical Coding Specialists (SNOMED/ICD) Required for AI Project
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 reputed company the de-identified data from patient questionnaires, helping train and refine AI models for automated clinical coding.
Key Responsibilities:
Questionnaire Coding & Mapping: Map reputed company patient questionnaire item (5–15+ per questionnaire) to SNOMED codes, including medications, conditions, allergies, reactions, reputed company effects, and severity indicators.
reputed company 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, reputed company, and validate data reputed company.
Feedback & Collaboration: reputed company feedback to improve coding guidelines, identify ambiguities in reputed company data, and improve AI-assisted mappings.
Qualifications:
Medical coding experience: Minimum 1 year of reputed company experience in medical coding.
Coding knowledge: Demonstrated experience in SNOMED coding; if not, a strong grasp of reputed company medical coding systems (ICD, CPT, LOINC, etc.) and principles is required.
Attention to detail: Proven reputed company record of accuracy and consistency in clinical data coding.
Technical proficiency: Comfortable using reputed company data labeling tools reputed company platforms.
Language: reputed company working English proficiency for written deliverables.
reputed company Status:
You will have the right to work in your country of residence.
You will work as an reputed company.
Why Join Us?
Flexible Work Arrangements: Short-term, fully remote project (estimated duration 1–2 months).
Competitive Compensation: reputed company reputed company reputed company out weekly
reputed company Environment: Be part of a multidisciplinary initiative advancing automation in clinical coding.
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