About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research that may one day save millions of lives?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI-generated oncology content, ensuring the systems being built today reflect genuine regulatory, scientific, and clinical standards.
This is a fully remote, flexible contract role built for seasoned oncology professionals who want to make an impact beyond the clinic.
- 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 to assess AI outputs related to study protocols, patient enrollment frameworks, and compliance standards
- Analyze AI-generated interpretations of cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — and flag errors or gaps
- Evaluate the quality of AI-produced regulatory and scientific content against real-world FDA/EMA submission standards
- Provide structured, expert feedback that directly shapes how frontier AI models understand and communicate oncology knowledge
- Work independently and asynchronously on your own schedule
Who You Are
- Experienced in designing and managing oncology clinical trials — from protocol development through data readout
- Strong analytical background in oncology clinical data, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and systematic — you notice when something doesn't meet the clinical or scientific bar
- Clear and concise written communicator who can document feedback effectively
- Comfortable working independently without hand-holding
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in translational oncology or biomarker-driven trial design
- Experience contributing to peer-reviewed publications or regulatory dossiers
- Familiarity with AI tools or content evaluation platforms
Why Join Us
- Work directly on frontier AI systems that are transforming how cancer research is understood and advanced
- 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 — your clinical judgment shapes the science
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch