Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)

About the Role

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology - influencing research that affects patients worldwide? We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI training and evaluation workflows. This is a fully remote, flexible contract role. You don't need an AI background - just a strong foundation in oncology trial design, data analysis, and regulatory standards. Organization : Alignerr Type : Hourly Contract Location : Remote Commitment : 10-40 hours/week

What You'll Do

Design and evaluate oncology clinical trial protocols, including study design, patient enrollment criteria, and regulatory compliance standards Analyze cancer trial data - covering safety profiles, efficacy endpoints, and biomarker results - to assess treatment performance and clinical validity Translate trial outcomes into clear regulatory and scientific insights aligned with FDA, EMA, and other agency standards Review and critique AI-generated clinical content for scientific accuracy, clinical relevance, and regulatory alignment Help ensure that AI systems reasoning about oncology data reflect real-world standards and best practices 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 efficacy endpoints, safety monitoring, and biomarker analysis Familiar with regulatory submission standards for major agencies such as the FDA or EMA Detail-oriented and rigorous - you hold AI-generated outputs to the same standard you'd apply to a real trial report Self-motivated and comfortable working independently in an asynchronous, remote environment

Nice to Have

Prior experience with data annotation, data quality assurance, or AI evaluation systems Background in oncology subspecialties such as hematology, solid tumors, or immuno-oncology Experience contributing to publications, regulatory submissions, or clinical decision-support tools Familiarity with AI tools or clinical data platforms as an end user

Why Join Us

Work directly on frontier AI systems being built to transform cancer research and clinical decision-making Influence how AI models understand, evaluate, and reason about real oncology trial 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 Experience: 3 years required