Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards
• Analyze AI outputs related to cancer trial data — including safety profiles, efficacy endpoints, and biomarker findings
• Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards
• Provide structured, expert feedback that directly improves how frontier AI systems 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 background in analyzing oncology clinical data — including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented, methodical, and capable of delivering clear, well-reasoned evaluations
• Able to translate complex clinical and scientific knowledge into structured, actionable feedback
• Nice to have: Prior experience with data annotation, data quality, or AI evaluation workflows, Background in translational oncology or clinical pharmacology, Experience contributing to publications, regulatory dossiers, or scientific communications