Oncology Clinical Researcher

What You'll Do

• Design and evaluate oncology clinical trial protocols — including patient enrollment strategies, endpoint selection, and regulatory compliance frameworks
• Analyze cancer trial data across safety, efficacy, and biomarker dimensions to assess treatment performance
• Translate trial outcomes into clear regulatory and scientific outputs aligned with FDA/EMA submission standards
• Review and evaluate AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment
• Help ensure that AI systems reasoning about cancer research are grounded in real-world clinical practice
• 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 clinical data — including endpoints, safety profiles, and biomarker analysis
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in a clinical or regulatory setting
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation systems
• Background in oncology drug development, translational research, or medical writing