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