Oncology Clinical Researcher

About the role

What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that may one day accelerate breakthroughs for patients worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, trial methodologies, and clinical insights used to train and evaluate advanced AI systems meet the highest scientific, regulatory, and clinical standards. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.

Responsibilities

• 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

Why join us

• Work directly on frontier AI systems that are transforming how the world approaches cancer research
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy: you choose your pace, your schedule, and your level of commitment
• Influence how AI models understand real oncology data — your expertise shapes what these systems learn
• Collaborate with world-class AI research teams and fellow domain experts across the globe
• Potential for ongoing work and contract extension as new projects launch