Oncology Clinical Researcher at Alignerr — NeverHard

Oncology Clinical Researcher (AI Training)About The Role What if your expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that may one day transform how cancer is diagnosed and treated? We're looking for Oncology Clinical Researchers to bring deep, real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that the oncology data, insights, and reasoning powering next-generation AI systems are scientifically rigorous, clinically accurate, and regulatory-compliant. This is a fully remote, flexible contract role. No AI background required — just deep expertise in oncology clinical research and a sharp eye for scientific quality. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs Analyze how AI handles cancer trial data, including safety profiles, efficacy results, and biomarker findings Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards Provide structured, expert feedback that directly shapes how AI models reason about real-world oncology 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, including endpoints, safety profiles, and biomarkers Familiar with regulatory submission standards for agencies such as the FDA or EMA Detail-oriented and methodical, with high standards for scientific accuracy Able to clearly articulate complex clinical reasoning in written evaluations No prior AI or tech experience required Nice to Have Prior experience with data annotation, data quality review, or AI evaluation workflows Background in translational oncology, biomarker research, or regulatory affairs Experience contributing to peer-reviewed publications or clinical decision-making frameworks Why Join Us Work directly on frontier AI systems with the potential to transform cancer research and care 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, high-impact work Collaborate with world-leading AI research teams and labs Potential for ongoing work and contract extension as new projects launch