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 tools that researchers, clinicians, and drug developers rely on worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific rigor into cutting-edge AI development. You'll evaluate and improve AI-generated oncology content, ensuring the models powering tomorrow's cancer research are grounded in accurate, clinically valid, and regulatory-aligned science.
This is a fully remote, flexible contract role built for oncology professionals who want to do meaningful work on their own terms.
- 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 trial design expertise to assess study protocols, patient enrollment logic, and compliance with ethical and regulatory standards
- Analyze AI outputs related to cancer trial data --- including safety profiles, efficacy endpoints, and biomarker findings
- Evaluate AI-generated regulatory and scientific reporting against FDA/EMA submission standards
- Provide structured, expert feedback that directly improves how frontier AI systems reason about oncology
- 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 endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented, methodical, and capable of delivering clear, well-reasoned evaluations
- Able to translate complex clinical and scientific knowledge into structured, actionable feedback
Nice to Have
- Prior experience with data annotation, data quality, or AI evaluation workflows
- Background in translational oncology or clinical pharmacology
- Experience contributing to publications, regulatory dossiers, or scientific communications
Why Join Us
- Work directly on frontier AI systems transforming how the world understands 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 at the cutting edge of science
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
