Oncology Clinical Researcher

What You'll Do

• Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards
• Analyze cancer trial data — covering safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and clinical validity
• Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards
• Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment
• Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices

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 efficacy endpoints, safety monitoring, and biomarker analysis
• Familiar with regulatory submission standards for major agencies such as the FDA or EMA
• Detail-oriented and rigorous — you hold AI-generated outputs to the same standard you'd apply to a real trial report
• Self-motivated and comfortable working independently in an asynchronous, remote environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Background in oncology subspecialties such as hematology, solid tumors, or immuno-oncology
• Experience contributing to publications, regulatory submissions, or clinical decision-support tools
• Familiarity with AI tools or clinical data platforms as an end user