Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and drug developers worldwide? We're looking for Oncology Clinical Researchers to bring real-world trial expertise into AI-driven workflows. You'll review, evaluate, and inform the AI systems being built to support cancer research — ensuring they reflect the rigor, regulatory standards, and clinical nuance that this field demands. This is a fully remote, flexible contract role designed for experienced oncology professionals who want to do meaningful work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment logic, and regulatory compliance standards — to ensure AI-generated outputs meet real-world clinical expectations - Analyze cancer trial data across safety, efficacy, and biomarker dimensions to assess the accuracy and clinical relevance of AI outputs - Translate trial outcomes and findings into clear, structured evaluations aligned with FDA, EMA, and international regulatory standards - Review AI-generated clinical insights and flag errors in scientific reasoning, data interpretation, or regulatory alignment - Provide expert feedback that directly shapes how frontier AI models understand oncology research Who You Are - Experienced in designing and managing oncology clinical trials — from protocol development through data readout - Strong command of oncology data analysis, including clinical endpoints, safety profiles, and biomarker interpretation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and capable of evaluating complex clinical information with precision - Comfortable working independently and asynchronously in a remote environment Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology or drug development - Experience contributing to publications, regulatory submissions, or clinical decision-support tools 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 with the depth of meaningful, expert-level work - Collaborate with world-leading AI research teams and labs on problems that matter - Influence how AI models reason about real oncology data — your expertise sets the standard - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.