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 the tools that researchers, clinicians, and drug developers rely on worldwide?

We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring the models powering tomorrow's cancer research are grounded in accurate, clinically valid, and regulatory-aligned science.

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

• Review and evaluate AI-generated oncology content for clinical accuracy, scientific validity, and regulatory alignment
• Apply your trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards
• Analyze AI outputs related to cancer trial data — including safety profiles, efficacy endpoints, and biomarker findings
• Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards
• Provide structured, expert feedback that directly improves how frontier AI systems reason about oncology
• 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 background in analyzing oncology clinical data — including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented, methodical, and capable of delivering clear, well-reasoned evaluations
• Able to translate complex clinical and scientific knowledge into structured, actionable feedback

Nice to Have

• Prior experience with data annotation, data quality, or AI evaluation workflows
• Background in translational oncology or clinical pharmacology
• Experience contributing to publications, regulatory dossiers, or scientific communications

Why Join Us

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