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 research tools used by scientists and clinicians around the world? We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, clinical insights, and regulatory standards are accurately reflected in next-generation AI systems. This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms. - 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 criteria, and regulatory compliance standards - Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance - Translate trial outcomes into structured regulatory and scientific reports aligned with FDA/EMA submission standards - Review and evaluate AI-generated clinical insights for accuracy, clinical relevance, and regulatory soundness - Help ensure AI models reason correctly about real oncology data — from trial design through data readout Who You Are - Experienced in designing and managing oncology clinical trials from protocol development through final data readout - Strong background in analyzing oncology clinical data — including primary and secondary endpoints, safety profiles, and biomarker results - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold AI-generated content to the same standard you'd apply in a real clinical setting - Comfortable working independently and asynchronously on your own schedule Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation workflows - Background in translational oncology, precision medicine, or companion diagnostics - Experience contributing to or reviewing publications, INDs, or NDAs Why Join Us - Work directly on frontier AI systems transforming how cancer research is understood and applied - Influence how AI models interpret, evaluate, and communicate real oncology data - Fully remote and flexible — structure your work around your life, not the other way around - Collaborate with world-leading AI research teams on problems that actually matter - Freelance autonomy with the substance of genuinely impactful, expert-level work - Potential for ongoing work and contract extension as new projects launch
Application listings
Choose a source listing and check its country requirements.