Oncology Clinical Researcher
About this role
About the Role What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that may one day support researchers, clinicians, and patients worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory expertise into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated clinical insights — ensuring the systems being built today reflect the rigor, nuance, and complexity of real oncology research. This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely frontier — 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 frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards - Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance - Translate trial outcomes into clear, structured reporting aligned with FDA/EMA submission standards and clinical decision-making needs - Review and critique AI-generated oncology insights for scientific accuracy, clinical relevance, and regulatory alignment - Identify gaps, errors, and limitations in how AI models interpret and present clinical trial 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 analytical background in oncology clinical data — including endpoints, safety profiles, and biomarker analysis - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and rigorous — you know when clinical reasoning doesn't hold up - Comfortable working independently on structured, task-based assignments Nice to Have - Prior experience with data annotation, data quality evaluation, or AI output review - Background in translational oncology, clinical pharmacology, or related fields - Experience contributing to regulatory documents, clinical study reports, or publications - Familiarity with AI tools or clinical informatics platforms Why Join Us - Work directly on frontier AI systems being built to understand real-world cancer research - Fully remote and flexible — contribute on a schedule that fits your life - Freelance autonomy with the structure of meaningful, task-based work - Shape how AI models reason about oncology — a domain where accuracy genuinely matters - Collaborate with leading AI research labs and teams at the cutting edge of the field - Potential for ongoing work and contract extension as new projects launch
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