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 could one day save lives at scale? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work alongside leading AI research teams to ensure the oncology data, insights, and reasoning powering next-generation AI models meet the highest scientific, regulatory, and clinical standards. This is a fully remote, flexible contract role — built for working clinicians, researchers, and oncology experts 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 - Design and evaluate oncology clinical trial protocols — including study design, patient enrollment frameworks, and regulatory and ethical compliance standards - Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance - Translate trial outcomes into regulatory-grade scientific narratives aligned with FDA, EMA, and other agency submission standards - Review and evaluate AI-generated oncology content and clinical insights for scientific accuracy, regulatory alignment, and real-world clinical applicability - Help shape how frontier AI systems understand, reason about, and communicate complex oncology concepts - 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, biomarkers, and statistical outcomes - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you hold AI-generated content to the same standards you'd apply in a clinical or regulatory setting - Comfortable working independently on structured, task-based assignments Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation workflows - Background in oncology drug development, translational research, or clinical operations - Experience authoring or reviewing clinical study reports, regulatory briefing documents, or scientific publications - Familiarity with AI tools or content evaluation platforms Why Join Us - Work directly on frontier AI systems transforming cancer research and oncology medicine - Fully remote and flexible — contribute on your own schedule, from anywhere - Freelance autonomy with the structure of meaningful, high-impact work - Collaborate with world-class AI research labs on problems that matter - Influence how AI models understand and reason about real oncology data at a foundational level - Potential for ongoing work and contract extension as new projects launch
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