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 one of medicine's most complex fields? We're looking for Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development — ensuring that the models influencing the future of cancer care are grounded in accurate, clinically sound knowledge.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to frontier AI research without leaving their domain behind.

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

What You'll Do

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your knowledge of trial design — including protocol development, patient enrollment, and endpoint selection — to assess how well AI captures real-world oncology research standards
• Analyze and interpret cancer trial data outputs, including safety profiles, efficacy results, and biomarker findings, to identify errors or gaps in AI reasoning
• Evaluate AI-generated regulatory and scientific reports against FDA, EMA, and ICH standards
• Provide structured, expert feedback that directly improves how AI models understand oncology data and clinical decision-making
• 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, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented with a methodical approach to evaluating complex scientific content
• Comfortable working independently in a remote, task-based environment

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or clinical-regulatory writing
• Experience with biomarker-driven trial design or precision oncology
• Familiarity with AI tools or content evaluation platforms

Why Join Us

• Work directly on frontier AI systems that are transforming how cancer research is conducted
• Influence how the next generation of AI models understands real oncology data, clinical standards, and regulatory science
• 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