Oncology Clinical Researcher

What You'll Do

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment strategies, and regulatory compliance standards — for use in AI training and evaluation workflows
• Analyze cancer trial data, including safety profiles, efficacy endpoints, and biomarker results, to assess how well AI systems interpret and represent real-world treatment outcomes
• Translate trial findings into clear, structured outputs aligned with regulatory reporting standards used by agencies such as the FDA and EMA
• Review AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment
• Provide expert feedback that helps frontier AI models reason more accurately about cancer research and clinical decision-making

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 primary and secondary endpoints, safety monitoring, and biomarker analysis
• Familiar with regulatory submission standards and documentation requirements for major agencies such as the FDA or EMA
• Detail-oriented and systematic — you hold clinical outputs to a high standard
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation systems
• Background in translational oncology or clinical pharmacology
• Experience contributing to scientific publications or regulatory dossiers
• Familiarity with AI tools or clinical informatics platforms