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 regulatory teams worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into AI-driven research workflows. You'll evaluate, guide, and improve how frontier AI systems interpret oncology trial data — ensuring the insights they generate meet the standards of actual clinical and regulatory practice. This is a fully remote, flexible contract role built for senior oncology professionals who want to contribute to something genuinely consequential — on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment strategies, and regulatory compliance standards - Analyze cancer trial data covering safety profiles, efficacy endpoints, and biomarker results to assess treatment performance - Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards - Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory soundness - Help establish the quality benchmarks that define how AI models understand real-world oncology research - 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 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 scientifically rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting - Able to communicate complex oncology concepts clearly and precisely in writing - Self-motivated and reliable when working independently Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in translational oncology, clinical pharmacology, or biomarker science - Experience contributing to peer-reviewed publications or regulatory submissions - Familiarity with AI tools or clinical decision-support systems Why Join Us - Work directly on frontier AI systems being built to transform cancer research and clinical decision-making - Influence how the next generation of AI understands real oncology data — at the protocol, endpoint, and regulatory level - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with leading AI research labs and teams at the cutting edge of medical AI - Potential for ongoing work and contract extension as new projects launch
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