Oncology Clinical Researcher

About The Role

What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulatory teams worldwide?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven research and evaluation workflows. You'll work with leading AI research teams to ensure that oncology data used to train and assess advanced AI systems reflects genuine regulatory, scientific, and clinical standards.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

• Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment considerations, and regulatory compliance standards
• Analyze cancer trial data covering safety endpoints, efficacy outcomes, and biomarker results to assess treatment performance
• Translate complex trial outcomes into regulatory and scientific documentation aligned with FDA, EMA, and international submission standards
• Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and regulatory alignment
• Help define what "correct" looks like for AI reasoning about oncology — your expertise sets the benchmark

• Experienced in designing and managing oncology clinical trials from protocol development through data readout
• Strong background in analyzing oncology clinical data, including primary and secondary endpoints, safety profiles, and biomarker analysis
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented, scientifically rigorous, and able to clearly articulate complex clinical concepts in writing
• Comfortable working independently and asynchronously on structured, task-based assignments

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Background in oncology subspecialties such as immuno-oncology, precision medicine, or rare cancers
• Experience with clinical data management platforms or electronic data capture systems
• Academic or industry publications in oncology research

• Work directly on frontier AI systems that are transforming cancer research and clinical decision-making
• Influence how AI models understand, interpret, and reason about real-world oncology data
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch