Oncology Clinical Researcher

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, regulatory alignment, and scientific validity
• Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess how well AI captures these processes
• Analyze AI outputs related to cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
• Evaluate the quality of AI-generated regulatory and scientific reporting against FDA/EMA submission standards
• Provide structured, expert feedback that directly shapes how AI models reason about real-world oncology data
• 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 oncology data analysis — endpoints, safety, and biomarker interpretation
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous in applying scientific and clinical standards
• Comfortable working independently on task-based assignments

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology, precision medicine, or immuno-oncology
• Experience contributing to peer-reviewed publications or regulatory dossiers
• Familiarity with AI tools or clinical decision support systems as an end user