Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
• Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standards
• Analyze and validate AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results
• Assess the quality of AI-generated regulatory and scientific content relevant to FDA/EMA submission standards
• Provide structured, expert feedback that directly improves how AI models understand and 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 and rigorous — you hold clinical and scientific content to a high standard
• Able to communicate complex oncology concepts clearly in written form
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation workflows
• Background in oncology research publications or clinical decision support
• Experience across multiple cancer types or trial phases
• Familiarity with AI tools or clinical informatics platforms