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 the next generation of tools used in cancer research and care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical trial knowledge into cutting-edge AI development workflows. You'll evaluate, validate, and improve AI-generated oncology insights — ensuring that the models shaping the future of cancer research are grounded in rigorous science, clinical accuracy, and regulatory reality. 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. - 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 trial design expertise to assess AI outputs related to study protocols, patient enrollment, and compliance standards - Analyze and validate AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results - Assess the quality of AI-generated regulatory and scientific content relevant to FDA/EMA submission standards - Provide structured, expert feedback that directly improves how AI models understand and reason about oncology - 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 hold clinical and scientific content to a high standard - Able to communicate complex oncology concepts clearly in written form - Comfortable working independently on structured, task-based assignments Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation workflows - Background in oncology research publications or clinical decision support - Experience across multiple cancer types or trial phases - Familiarity with AI tools or clinical informatics platforms Why Join Us - Work directly on frontier AI systems with the potential to transform cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Influence how AI models understand real-world oncology data at the frontier of the field - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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