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 next generation of tools used by researchers, clinicians, and drug developers worldwide? We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll evaluate, guide, and validate AI-generated oncology content — ensuring it reflects the standards you've spent your career mastering: regulatory compliance, scientific accuracy, and clinical relevance. This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for quality.
• 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 soundness, and regulatory alignment
• Apply your expertise in clinical trial design — including protocol development, patient enrollment strategies, and endpoint selection — to assess and improve AI outputs
• Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy results, and biomarker findings
• Evaluate AI-produced regulatory and scientific content against FDA, EMA, and ICH standards
• Provide structured, expert feedback that directly shapes how AI models understand and 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, including primary and secondary endpoints, safety reporting, and biomarker evaluation
• Solid familiarity with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and methodical — you catch what others miss and can articulate why it matters
• Comfortable working independently and delivering high-quality written feedback
• No prior AI or tech experience required Nice to Have
• Experience with data annotation, data quality evaluation, or AI-assisted research tools
• Background in oncology drug development, translational research, or medical writing
• Familiarity with clinical trial management systems or regulatory dossier preparation
• Experience spanning multiple cancer types or trial phases (Phase I–III) Why Join Us
• Work directly on frontier AI systems transforming how the world approaches 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 novel contribution to your field
• Collaborate with world-leading AI research teams and labs
• Potential for ongoing work and contract extension as new projects launch