Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training) 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 #J-18808-Ljbffr Alignerr Corp.