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