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 systems that may one day transform how cancer is diagnosed and treated?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring it meets the scientific, regulatory, and clinical standards that matter most in cancer research.

This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy.

• 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, regulatory alignment, and scientific soundness
• Apply your experience in trial design — including protocol development, patient enrollment standards, and compliance — to assess AI outputs against real-world standards
• Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy endpoints, and biomarker results
• Evaluate AI-produced regulatory and scientific content against FDA/EMA submission standards and current clinical practice
• Provide structured, expert feedback that directly improves how AI models reason about oncology data
• 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, biomarkers, and statistical outcomes
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical, with high standards for scientific accuracy
• Able to evaluate complex clinical content and communicate feedback clearly
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or biomarker-driven research
• Familiarity with clinical decision support tools or evidence-based medicine frameworks
• Experience contributing to regulatory submissions or scientific publications

Why Join Us

• Work directly on frontier AI systems being developed alongside the world's leading research labs
• 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 understand, interpret, and reason about real oncology data
• Contribute to work that could genuinely shape the future of cancer research and patient outcomes
• Potential for ongoing work and contract extension as new projects launch