Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)

About The Role

What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — shaping tools that may one day transform how patients are treated?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and inform AI-generated oncology content — ensuring that the models being built to support cancer research actually reflect the complexity, precision, and regulatory standards the field demands.

This is a fully remote, flexible contract role designed for experienced oncology professionals. No AI background required — just deep clinical knowledge 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, scientific validity, and regulatory alignment
• Apply your expertise in clinical trial design — including protocol development, patient enrollment, and regulatory compliance — to assess AI outputs against real-world standards
• Analyze cancer trial data representations, including safety profiles, efficacy endpoints, and biomarker results, to identify gaps or errors in AI reasoning
• Evaluate how well AI systems interpret and communicate trial outcomes relevant to FDA/EMA regulatory submissions, publications, and clinical decision-making
• Provide structured, expert feedback that directly shapes how frontier AI models understand 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 oncology clinical data analysis, including endpoints, safety profiles, and biomarkers
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you catch what others miss
• Able to translate complex clinical knowledge into clear, structured written feedback
• No prior AI or tech experience required

Nice to Have

• Prior experience with data annotation, data quality review, or AI evaluation workflows
• Background in translational oncology or drug development
• Experience contributing to regulatory submissions, clinical study reports, or peer-reviewed publications
• Familiarity with AI tools or clinical decision support systems

Why Join Us

• Work directly on frontier AI systems being built to transform 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 — a genuinely rare opportunity
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch