Oncology Data Specialist — Remote AI Validation Expert

Labela

United States

On-site

USD 85,000 - 115,000

Full time

2 days ago
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Job summary

Labela is seeking certified U.S. Oncology Data Specialists for high-level cancer data abstraction and documentation consulting.

You will serve as a subject matter expert to validate, refine, and audit the abstracting logic and staging reasoning of frontier AI models in a flexible, remote role designed for practicing registrars and cancer data professionals to influence accuracy and standards compliance of medical AI at scale.

Qualifications

  • Active ODS-C certification (NCRA) required.
  • Minimum 2 years of production abstracting or registry experience.
  • Based in the United States.

Responsibilities

  • Abstraction Logic Auditing: Review and refine AI-generated cancer abstracts to ensure alignment with ICD-O-3.2 topography, histology, and behavior coding, as well as SEER, STORE, and NAACCR data standards.
  • High-Complexity Validation: Provide expert-level ground truth for full case abstractions, including AJCC TNM staging, SEER Summary Stage and EOD, Site-Specific Data Items (SSDIs), grade coding, and first-course-of-treatment capture.
  • Standards Oversight: Identify multiple primary and histology rule errors, staging discrepancies, reportability misclassifications, and edit failures in AI outputs that could compromise data quality or accreditation compliance.
  • Strategic Consulting: Advise on the development of AI-driven abstraction, casefinding, and cancer registry support tools across hospital and central registry settings.

Education

ODS-C certification (NCRA)

Job description

Labela is seeking certified U.S. Oncology Data Specialists for high-level cancer data abstraction and documentation consulting.

You will serve as a subject matter expert to validate, refine, and audit the abstracting logic and staging reasoning of frontier AI models in a flexible, remote role designed for practicing registrars and cancer data professionals to influence accuracy and standards compliance of medical AI at scale.

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