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 regulators worldwide? We're looking for Oncology Clinical Researchers to bring real-world trial experience into cutting-edge AI development workflows. You'll ensure that AI systems trained on oncology data reflect genuine scientific, regulatory, and clinical standards — the kind of nuance that only comes from someone who has actually worked in the field. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols, assessing study design, patient enrollment criteria, and regulatory and ethical compliance - Analyze cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to evaluate treatment performance and data quality - Translate trial outcomes into clear regulatory and scientific reporting frameworks aligned with FDA/EMA submission standards - Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment - Provide structured, expert feedback that directly improves how AI models reason about cancer research 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 oncology data analysis — including endpoints, safety reporting, and biomarker interpretation - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented and methodical, with the ability to identify when AI-generated clinical content misses the mark - Comfortable working independently and delivering structured written feedback Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation systems - Background in translational oncology, clinical pharmacology, or regulatory affairs - Experience contributing to peer-reviewed publications or IND/NDA submissions - Familiarity with AI tools or clinical data platforms as an end user Why Join Us - Work directly on frontier AI systems being built to transform cancer research and clinical decision-making - Influence how AI models understand real oncology data — at a scale no single trial could reach - 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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