Oncology Clinical Researcher
About this role
About the Role What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — at a global scale? We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll work with leading AI labs to ensure the models being trained on oncology data reflect genuine clinical, regulatory, and scientific standards — the kind of nuance only a seasoned expert can provide. This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their 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, ensuring alignment with regulatory and ethical standards - Analyze cancer trial data — including safety outcomes, efficacy endpoints, and biomarker results — to assess treatment performance - Translate trial findings into regulatory and scientific reports consistent with FDA/EMA submission standards - Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment - Help shape how frontier AI models understand and reason about real-world oncology data - 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 analytical background in oncology clinical data, including endpoints, safety profiles, and biomarkers - Familiar with regulatory submission standards for agencies such as the FDA or EMA - Detail-oriented with a systematic, rigorous approach to evaluating scientific content - Comfortable working independently and delivering structured, high-quality outputs Nice to Have - Prior experience with data annotation, data quality review, or AI evaluation systems - Background in translational oncology or biomarker-driven trial design - Familiarity with AI tools or clinical data platforms - Experience writing or reviewing publications for peer-reviewed oncology journals Why Join Us - Work directly on frontier AI systems being developed alongside the world's leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the substance of impactful, expert-level work - Influence how AI models interpret and apply real oncology evidence - Contribute to technology that could meaningfully advance how cancer research is conducted and understood - Potential for ongoing work and contract extension as new projects launch
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