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 transform patient outcomes worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, insights, and outputs meet the highest scientific, regulatory, and clinical standards. This is a fully remote, flexible contract role built for working oncology professionals and researchers who want to apply their expertise beyond the lab or clinic. - 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 — for use in AI training workflows - Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance and clinical relevance - Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards - Review and evaluate AI-generated clinical insights, flagging inaccuracies and ensuring outputs reflect real-world oncology practice - Provide expert judgment on how well AI models interpret and reason about complex 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 — endpoints, safety profiles, biomarkers, and statistical outputs - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented, methodical, and confident in making expert clinical judgments - Comfortable working independently on structured, task-based assignments Nice to Have - Prior experience with data annotation, data quality evaluation, or AI model assessment workflows - Background in translational oncology, precision medicine, or biomarker-driven trial design - Experience authoring or reviewing clinical study reports, publications, or regulatory dossiers - Familiarity with AI tools or clinical data platforms as an end user Why Join Us - Work directly on frontier AI systems being developed alongside the world's leading research labs - Influence how AI models understand, interpret, and reason about real oncology data - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Contribute to AI-driven oncology research with genuine potential to impact cancer care - Potential for ongoing work and contract extension as new projects launch
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