Oncology Clinical Researcher

About the Role

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulatory teams worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into AI-driven research workflows. You'll evaluate, guide, and improve how frontier AI systems interpret oncology trial data — ensuring the insights they generate meet the standards of actual clinical and regulatory practice.

This is a fully remote, flexible contract role built for senior oncology professionals who want to contribute to something genuinely consequential — on their own schedule.

What You'll Do

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment strategies, and regulatory compliance standards
• Analyze cancer trial data covering safety profiles, efficacy endpoints, and biomarker results to assess treatment performance
• Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards
• Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory soundness
• Help establish the quality benchmarks that define how AI models understand real-world oncology research
• 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 biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and scientifically rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting
• Able to communicate complex oncology concepts clearly and precisely in writing
• Self-motivated and reliable when working independently

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology, clinical pharmacology, or biomarker science
• Experience contributing to peer-reviewed publications or regulatory submissions
• Familiarity with AI tools or clinical decision-support systems

Why Join Us

• Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
• Influence how the next generation of AI understands real oncology data — at the protocol, endpoint, and regulatory level
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Collaborate with leading AI research labs and teams at the cutting edge of medical AI
• Potential for ongoing work and contract extension as new projects launch