About the Role
What if your deep expertise in cancer clinical trials could directly influence how AI understands and reasons about oncology — at a global scale?
We're looking for Oncology Clinical Researchers to bring real-world rigor to AI-driven research workflows. You'll work with leading AI labs to ensure the models being trained on oncology data reflect genuine clinical, regulatory, and scientific standards — the kind of nuance only a seasoned expert can provide.
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
- Design and evaluate oncology clinical trial protocols, ensuring alignment with regulatory and ethical standards
- Analyze cancer trial data — including safety outcomes, efficacy endpoints, and biomarker results — to assess treatment performance
- Translate trial findings into regulatory and scientific reports consistent with FDA/EMA submission standards
- Review and evaluate AI-generated clinical insights for accuracy, scientific validity, and regulatory alignment
- Help shape how frontier AI models understand and reason about real-world 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 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 with a systematic, rigorous approach to evaluating scientific content
- Comfortable working independently and delivering structured, high-quality outputs
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation systems
- Background in translational oncology or biomarker-driven trial design
- Familiarity with AI tools or clinical data platforms
- Experience writing or reviewing publications for peer-reviewed oncology journals
Why Join Us
- Work directly on frontier AI systems being developed alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the substance of impactful, expert-level work
- Influence how AI models interpret and apply real oncology evidence
- Contribute to technology that could meaningfully advance how cancer research is conducted and understood
- Potential for ongoing work and contract extension as new projects launch