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, clinicians, and regulators worldwide? 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 interpret oncology trial data — ensuring the science is accurate, the regulatory grounding is solid, and the clinical reasoning actually holds up. This is a fully remote, flexible contract role built for clinical professionals who want to do meaningful work 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, regulatory alignment, and scientific validity - Apply your trial design expertise to assess AI outputs related to study protocols, patient enrollment, endpoint selection, and compliance standards - Analyze AI interpretations of cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — and flag errors or gaps - Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA - Translate your clinical and scientific judgment into structured, actionable feedback that directly improves AI model training - Work independently and asynchronously on task-based assignments — fully on your own schedule Who You Are - Experienced in designing and managing oncology clinical trials, from protocol development through data readout - Strong command of oncology clinical data analysis — 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 reasoning doesn't hold up - Able to communicate complex scientific assessments clearly in writing - Comfortable working independently without hand-holding Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in oncology drug development, translational research, or regulatory affairs - Experience writing or reviewing clinical study reports, protocols, or regulatory submissions - Familiarity with AI tools or content evaluation platforms as an end user Why Join Us - Work directly on frontier AI systems that are transforming how cancer research is understood and applied - Influence how AI models reason about real oncology data — your expertise shapes the science - 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.