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 could one day save lives at scale?
We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll review, evaluate, and help refine AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter most in cancer research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely transformative — on their own schedule.
- 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, endpoint definitions, patient enrollment logic, and compliance frameworks
- Analyze AI outputs covering cancer trial data — including safety signals, efficacy results, and biomarker findings — and flag gaps or errors
- Evaluate how well AI-generated insights reflect real-world regulatory standards for agencies such as the FDA and EMA
- Provide structured, expert feedback that directly improves how AI models understand and reason about oncology data
- Work independently and asynchronously on task-based assignments — fully 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 the FDA, EMA, or comparable agencies
- Detail-oriented and systematic — you notice when clinical or scientific logic doesn't hold up
- Clear and precise written communicator who can articulate complex clinical reasoning
- Comfortable working independently without day-to-day oversight
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI content review
- Background in translational oncology, biomarker research, or precision medicine
- Experience contributing to regulatory submissions, clinical study reports, or scientific publications
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
- Influence how AI models interpret real oncology data — your expertise shapes what these systems get right
- Fully remote and flexible — work when and where it suits you, with no fixed schedule
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with world-leading AI research teams and labs on problems that matter
- Potential for ongoing work and contract extension as new projects launch