Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your experience in protocol development, patient enrollment, and trial oversight to assess how well AI captures real-world trial design
• Analyze AI outputs covering safety data, efficacy endpoints, and biomarker results — flagging gaps, errors, or oversimplifications
• Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models learn to reason about oncology
• Work independently and asynchronously — fully on your own schedule

Who You Are

• Experienced in designing and managing oncology clinical trials — from protocol development through data readout
• Strong analytical background in oncology data, including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you catch what others miss
• Comfortable working independently without hand-holding

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in medical writing, regulatory affairs, or clinical data management
• Experience across multiple cancer types or trial phases
• Familiarity with AI tools or clinical research platforms