Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research that could one day impact millions of patients? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, guide, and improve how advanced AI systems handle oncology trial data, regulatory standards, and clinical decision-making — ensuring the science is right. This is a fully remote, flexible contract role built for oncology professionals who want to contribute to something genuinely frontier — on their own schedule. - 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 expertise in clinical trial design — including protocol development, patient enrollment, and compliance standards — to assess AI outputs - Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results - Evaluate the quality and accuracy of AI-produced regulatory and scientific reporting against FDA/EMA submission standards - Provide structured, expert feedback that directly shapes how AI models understand real-world oncology data - 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 — endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and capable of translating deep clinical knowledge into clear, structured evaluation - Comfortable working independently without close supervision Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation workflows - Background in translational oncology or biomarker research - Experience contributing to peer-reviewed publications or regulatory dossiers - Familiarity with AI tools or clinical informatics platforms Why Join Us - Work directly on frontier AI systems being built alongside the world's leading AI research labs - Shape how AI models reason about real oncology science — your expertise has direct, tangible impact - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the intellectual depth of meaningful, high-stakes scientific work - Potential for ongoing work and contract extension as new projects launch - Collaborate with a global network of domain experts pushing the boundaries of AI in medicine
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