Oncology Clinical Researcher

What You'll Do

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards — for use in AI training workflows
• Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
• Review and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practice
• Provide expert judgment on how well AI models interpret and reason about complex 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 analyzing oncology clinical data — endpoints, safety profiles, biomarkers, and statistical outputs
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented, methodical, and confident in making expert clinical judgments
• Comfortable working independently on structured, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
• Background in translational oncology, precision medicine, or biomarker-driven trial design
• Experience authoring or reviewing clinical study reports, publications, or regulatory dossiers
• Familiarity with AI tools or clinical data platforms as an end user