Oncology Clinical Researcher

Evaluate AI-generated clinical insights

You'll review, evaluate, and inform AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter in the real world.

What You'll Do

• Evaluate AI-generated clinical insights for oncology accuracy, regulatory alignment, and scientific validity
• Apply your expertise in trial design — protocols, patient enrollment, compliance, and regulatory standards — to assess AI outputs
• Review cancer trial data interpretations, including safety profiles, efficacy analyses, and biomarker findings
• Identify gaps or errors in how AI systems represent oncology concepts, clinical methodology, and trial outcomes
• Provide structured, expert-level feedback that directly shapes how frontier AI models reason about cancer research
• Work independently and asynchronously on your own schedule

Who You Are

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong background in analyzing oncology clinical data — endpoints, safety profiles, biomarkers, and treatment outcomes
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and able to provide precise, well-reasoned written feedback
• Self-motivated and reliable when working independently

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or biomarker-driven trial design
• Experience contributing to FDA/EMA submissions, clinical publications, or regulatory affairs
• Familiarity with AI tools or clinical decision-support systems