Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that researchers, clinicians, and scientists rely on worldwide? We're looking for Oncology Clinical Researchers to bring real-world expertise into AI-driven research workflows. You'll evaluate, guide, and improve how advanced AI systems understand cancer trial data, regulatory science, and clinical evidence — ensuring the AI that's transforming oncology is grounded in rigorous, real-world standards. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical and scientific quality. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Review and evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment - Apply your experience designing and managing cancer clinical trials — including protocol development, patient enrollment, and compliance — to assess how well AI handles these workflows - Analyze AI outputs covering safety, efficacy, and biomarker data to determine whether they reflect real-world oncology standards - Assess the quality of AI-generated regulatory and scientific reports against FDA/EMA submission standards - Provide structured, detailed feedback that helps frontier AI systems reason more accurately about cancer 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 background in analyzing 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 rigorous — you notice when clinical or scientific reasoning doesn't hold up - Clear and concise written communicator - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality, or evaluation systems - Background in translational oncology, medical writing, or regulatory affairs - Experience working across multiple cancer types or therapeutic areas - Familiarity with AI tools or clinical decision-support platforms as an end user Why Join Us - Work directly on frontier AI systems that are transforming how the world understands and fights cancer - Influence how AI models reason about real oncology data — at a scale no individual trial could reach - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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