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 may one day save millions of lives? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI-generated oncology content, ensuring the systems being built today reflect genuine regulatory, scientific, and clinical standards. This is a fully remote, flexible contract role built for seasoned oncology professionals who want to make an impact beyond the clinic. - 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 expertise in trial design to assess AI outputs related to study protocols, patient enrollment frameworks, and compliance standards - Analyze AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — and flag errors or gaps - Evaluate the quality of AI-produced regulatory and scientific content against real-world FDA/EMA submission standards - Provide structured, expert feedback that directly shapes how frontier AI models understand and communicate oncology knowledge - Work independently and asynchronously 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, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and systematic — you notice when something doesn't meet the clinical or scientific bar - Clear and concise written communicator who can document feedback effectively - Comfortable working independently without hand-holding Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology or biomarker-driven trial design - Experience contributing to peer-reviewed publications or regulatory dossiers - Familiarity with AI tools or content evaluation platforms Why Join Us - Work directly on frontier AI systems that are transforming how cancer research is understood and advanced - 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 — your clinical judgment shapes the 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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