Senior Medical Data Abstractor
Core
Validating and refining AI-generated oncology data extraction and trial-matching outputs from electronic health records to ensure clinical accuracy and protocol alignment.
Role type
Senior IC oncology clinical data abstractor (AI validation)
Builds
AI-driven oncology data extraction and trial-matching systems
Domain
Oncology clinical research and artificial intelligence
Deliverable
production ML models
Required skills
oncology domain expertise (diagnosis, staging, grading, systemic therapies), clinical trial eligibility assessment, medical record review, structured data system navigation, AI model output validation, abstraction logic tuning, SOP development
Preferred skills
certification in Clinical Research or Clinical Data Management
Technologies
EHRs, CTMS, OncoLLM, Prism, Harmony, Symphony
Responsibilities
Review oncology patient cases for clinical trial eligibility using inclusion/exclusion criteria, Provide structured feedback to improve AI model performance on inclusion/exclusion logic, Translate complex protocol requirements into structured, model-readable logic, Review and refine AI-extracted diagnostic, pathology, imaging, and treatment data for accuracy, Collaborate with NLP and product teams to tune oncology-specific data dictionaries, Define and improve abstraction rules to enhance automated clinical data structuring, Identify systematic error patterns in AI outputs and propose workflow or model-level improvements, Conduct second-level and quality-control reviews to benchmark AI performance, Contribute to SOP development for AI-assisted abstraction workflows
Seniority
Senior, hands-on IC
