Oncology Clinical Researcher
About this role
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
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