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 cutting-edge AI development. You'll work with leading AI research teams to ensure that the oncology knowledge embedded in frontier AI systems is clinically accurate, regulatory-sound, and scientifically credible. This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific quality. - 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 criteria, and regulatory compliance standards - Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess how accurately AI models interpret treatment outcomes - Review and validate AI-generated clinical insights for scientific accuracy, regulatory alignment, and real-world clinical relevance - Translate trial outcomes and AI evaluations into structured reports reflecting FDA/EMA submission standards and clinical decision-making norms - Provide expert feedback that directly shapes how AI systems learn to reason about oncology data - 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 primary and secondary endpoints, safety profiles, and biomarker results - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and systematic — you hold AI-generated content to the same rigorous standards you'd apply to real clinical work - Comfortable working independently and delivering structured, high-quality written evaluations - No prior AI or data annotation experience required Nice to Have - Experience with data annotation, data quality review, or AI evaluation workflows - Background in oncology drug development, translational research, or clinical operations - Familiarity with biomarker-driven trial design or precision oncology frameworks - Prior work on regulatory submissions, clinical study reports, or publications 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 — at the cutting edge of medicine and technology - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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