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, reasons about, and communicates oncology research to the world? We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory rigor to cutting-edge AI development. Your work will ensure that the AI systems being built to support cancer research are grounded in accurate, clinically meaningful, and regulatory-compliant knowledge. This is a fully remote, flexible contract role — no relocation, no fixed hours, just meaningful work you can do on your own terms. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design and evaluate oncology clinical trial protocols — covering patient enrollment strategies, endpoint selection, and regulatory compliance frameworks Analyze cancer trial data including safety profiles, efficacy outcomes, and biomarker results to assess treatment performance Translate clinical trial findings into structured regulatory and scientific outputs aligned with FDA/EMA submission standards Review and evaluate AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment Identify gaps or errors in how AI models interpret or represent oncology data — and help correct them Who You Are Experienced in designing and managing oncology clinical trials from protocol development through data readout Strong analytical background in oncology clinical data — endpoints, safety, efficacy, and biomarkers Familiar with regulatory submission standards for agencies such as the FDA or EMA Detail-oriented and rigorous — you notice 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 review, or AI evaluation workflows Background in translational oncology, biostatistics, or clinical pharmacology Experience contributing to publications, regulatory dossiers, or clinical study reports Familiarity with AI tools or evaluation platforms as a professional 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 and reason about real-world oncology data at the deepest level Fully remote and flexible — work when and where it suits you Freelance autonomy with the structure of meaningful, high-impact work Collaborate with world-leading AI research teams and labs Potential for ongoing work and contract extension as new projects launch #J-18808-Ljbffr