Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
• Apply your experience designing and managing cancer clinical trials — including protocol development, patient enrollment, and compliance — to assess how well AI handles these workflows
• Analyze AI outputs covering safety, efficacy, and biomarker data to determine whether they reflect real-world oncology standards
• Assess the quality of AI-generated regulatory and scientific reports against FDA/EMA submission standards
• Provide structured, detailed feedback that helps frontier AI systems reason more accurately about cancer research
• 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 and rigorous — you notice when clinical or scientific reasoning doesn't hold up
• Clear and concise written communicator
• No prior AI or tech experience required
• Nice to have:
• Prior experience with data annotation, data quality, or evaluation systems
• Background in translational oncology, medical writing, or regulatory affairs
• Experience working across multiple cancer types or therapeutic areas
• Familiarity with AI tools or clinical decision-support platforms as an end user