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 tools that will support the next generation of cancer research and treatment decisions? We're looking for an Oncology Clinical Researcher to bring real-world clinical trial knowledge into cutting-edge AI development. You'll work alongside leading AI research teams to ensure that oncology data, reasoning, and outputs meet the highest scientific, regulatory, and clinical standards. This is a fully remote, flexible contract role built for experienced oncology professionals. No AI background required — just deep command of cancer clinical research and a sharp eye for scientific rigor. - 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, regulatory alignment, and scientific validity - Apply your expertise in trial design — protocols, patient enrollment, endpoints, and compliance — to assess and improve AI outputs - Analyze cancer trial data representations, including safety profiles, efficacy results, and biomarker findings, to verify how well AI captures real-world complexity - Evaluate AI-generated regulatory and scientific content against FDA/EMA submission standards - Provide structured, expert feedback that directly shapes how AI models understand and reason about 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 — you catch what others miss - Comfortable translating complex clinical knowledge into clear, structured evaluations - No prior AI or tech experience required Nice to Have - Prior experience with data annotation, data quality, or evaluation workflows - Background in oncology subspecialties such as immuno-oncology, precision medicine, or rare cancers - Experience contributing to publications, IND/NDA submissions, or clinical study reports - Familiarity with AI tools or clinical decision support systems as an end user Why Join Us - Work directly on frontier AI systems transforming how cancer research is understood and applied - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, expert-level work - Influence how AI models reason about real oncology data at a foundational level - Collaborate with world-leading AI research labs and a global network of domain experts - Potential for ongoing work and contract extension as new projects launch
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