Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep knowledge of cancer clinical trials could directly shape how AI reasons about oncology — influencing the systems that will transform how we research, diagnose, and treat cancer?

We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and validate AI-generated oncology insights, ensuring that the models being built by the world's leading AI labs are grounded in genuine scientific, regulatory, and clinical expertise.

This is a fully remote, flexible contract role. If you've spent years designing trials, interpreting endpoints, and navigating regulatory submissions — this is a rare opportunity to apply that expertise at the frontier of AI.

• 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 expertise in trial design — including protocol development, patient enrollment frameworks, and compliance standards — to assess and improve AI outputs
• Analyze AI-generated interpretations of cancer trial data, including efficacy endpoints, safety profiles, and biomarker results
• Evaluate whether AI-produced regulatory and scientific content meets the standards required for FDA/EMA submissions and clinical decision-making
• Provide structured, expert feedback that directly shapes how frontier AI models understand and 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 — endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you hold clinical outputs to a high standard
• Comfortable evaluating complex scientific content and articulating clear, reasoned feedback
• No prior AI experience required — your clinical expertise is what matters

Nice to Have

• Prior experience with data annotation, data quality, or evaluation workflows
• Background in translational oncology or biomarker research
• Experience contributing to regulatory submissions or clinical publications
• Familiarity with AI tools or content evaluation platforms as an end user

Why Join Us

• Work directly on frontier AI systems being built to transform cancer research
• Influence how AI models understand real oncology data — your expertise leaves a lasting mark
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Collaborate with a global network of specialists across medicine and science
• Potential for ongoing work and contract extension as new projects launch

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