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 by researchers and clinicians worldwide? We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll evaluate, validate, and improve AI-generated oncology content — ensuring that the systems being built today reflect the clinical, regulatory, and scientific standards that matter most in cancer care. 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 soundness, and regulatory alignment - Apply your expertise in trial design — protocols, patient enrollment, endpoints, and safety monitoring — to assess the quality of AI outputs - Analyze AI-generated interpretations of cancer trial data, including efficacy results, safety profiles, and biomarker findings - Assess whether AI-generated regulatory and scientific language meets the standards expected for FDA/EMA submissions and clinical publications - Identify gaps, errors, and areas where AI reasoning about oncology falls short of real-world clinical standards - Provide structured, detailed feedback that directly informs how frontier AI models are trained and refined 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 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 methodical — you notice when clinical reasoning doesn't hold up - Able to communicate complex oncology concepts clearly and precisely in writing - Comfortable working independently and asynchronously Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in oncology drug development, translational research, or medical writing - Familiarity with AI tools or content evaluation platforms - Experience contributing to clinical publications or regulatory dossiers Why Join Us - Work directly on frontier AI systems that are transforming how cancer research is conducted - Influence how AI models understand and reason about real oncology data — at the ground level - 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
Application listings
Choose a source listing and check its country requirements.