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 researchers, clinicians, and scientists rely on for years to come? We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll help ensure that the AI systems being built to support cancer research are grounded in genuine clinical, regulatory, and scientific standards — not approximations. This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own schedule. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design and evaluate oncology clinical trial protocols, covering study design, patient enrollment frameworks, and regulatory and ethical compliance standards - Analyze cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to assess treatment performance and data quality - Translate trial outcomes into clear regulatory and scientific narratives aligned with FDA/EMA submission standards, publications, and clinical decision-making contexts - Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment - Help set the standard for how frontier AI systems reason about real-world oncology data 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 hold AI outputs to the same standards you'd apply in a clinical or regulatory setting - Comfortable working independently and asynchronously on task-based assignments Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation workflows - Background in translational oncology, clinical pharmacology, or medical writing - Experience preparing or reviewing regulatory submissions (INDs, NDAs, CTDs) - Familiarity with AI tools or clinical data platforms as an end user Why Join Us - Work directly on frontier AI systems transforming how cancer research is conducted and understood - Influence how AI models reason about real oncology trial data — at a level of depth that actually matters - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, task-based 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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