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 tools that researchers, clinicians, and drug developers rely on worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring the models powering tomorrow's cancer research are grounded in accurate, clinically valid, and regulatory-aligned science. 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 - Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment - Apply your trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards - Analyze AI outputs related to cancer trial data — including safety profiles, efficacy endpoints, and biomarker findings - Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards - Provide structured, expert feedback that directly improves how frontier AI systems 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, methodical, and capable of delivering clear, well-reasoned evaluations - Able to translate complex clinical and scientific knowledge into structured, actionable feedback Nice to Have - Prior experience with data annotation, data quality, or AI evaluation workflows - Background in translational oncology or clinical pharmacology - Experience contributing to publications, regulatory dossiers, or scientific communications Why Join Us - Work directly on frontier AI systems transforming how the world understands cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Influence how AI models reason about real oncology data at the cutting edge of science - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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