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 impact millions of patients? 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 the systems being built to transform cancer research are grounded in accurate, regulatory-aligned, and scientifically sound clinical knowledge. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical quality. - 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 standards, and ethical compliance — to assess and improve AI outputs - Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker findings - Evaluate how well AI systems translate trial outcomes into regulatory and scientific contexts relevant to FDA/EMA standards - Provide structured, expert feedback that directly shapes how frontier AI models reason about real 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 command of oncology clinical data analysis — endpoints, safety profiles, biomarkers, and beyond - Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA - Naturally detail-oriented with a rigorous, systematic approach to evaluating clinical information - Able to communicate complex clinical findings clearly and concisely in written form - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation workflows - Background in translational oncology, clinical pharmacology, or regulatory affairs - Experience authoring or reviewing clinical study reports, IND/NDA submissions, or publications - Familiarity with AI tools or clinical decision support platforms as an end user Why Join Us - Work directly on frontier AI systems that are transforming how cancer research is conducted - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact project work - Influence how AI models understand, evaluate, and reason about real-world oncology data - Collaborate with world-leading AI research teams and labs - Potential for ongoing work and contract extension as new projects launch
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