Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that researchers, clinicians, and scientists rely on worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate, review, and improve AI-generated oncology content — ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research. This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep knowledge of cancer clinical trials and a sharp eye for accuracy. - 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 — including protocol development, patient enrollment, and compliance — to assess AI outputs against real-world standards - Analyze AI-generated interpretations of cancer trial data, including efficacy, safety, and biomarker findings - Evaluate the quality of AI-produced regulatory and scientific documentation against FDA/EMA submission standards - Provide structured, expert feedback that directly improves how AI models understand and reason about oncology - 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, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented with a systematic, thorough approach to evaluating complex scientific content - Able to communicate expert feedback clearly and concisely in written form - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation workflows - Background in translational oncology or biomarker-driven research - Experience contributing to publications, clinical study reports, or regulatory dossiers - Familiarity with AI tools or clinical decision-support platforms as an end user Why Join Us - Work directly on frontier AI systems transforming the future of cancer research - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-driven work - Influence how AI models understand, interpret, and communicate real oncology science - Potential for ongoing work and contract extension as new projects launch - Collaborate with world-leading AI research teams and labs on high-impact projects
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