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 work alongside leading AI research teams to ensure that oncology data, trial insights, and regulatory knowledge are accurately reflected in frontier AI systems. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols, including patient enrollment strategies and regulatory compliance standards - Analyze cancer trial data — safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance - Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA, EMA, and international standards - Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment - Help shape how AI models reason about real oncology evidence, trial design, and clinical decision-making - 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 endpoints, safety data, and biomarker results - 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 as a peer-reviewed submission - Comfortable working independently on structured, task-based assignments - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality review, or evaluation systems - Background in translational oncology, precision medicine, or biomarker research - Familiarity with clinical data management systems or electronic data capture platforms - Prior involvement in regulatory submissions or scientific publications Why Join Us - Work directly on frontier AI systems transforming how the world understands cancer research - 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 interpret and apply real oncology science at a global scale - Collaborate with world-leading AI research labs on high-impact projects - Potential for ongoing work and contract extension as new projects launch
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