About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing research tools used by scientists and clinicians around the world?
We're looking for experienced Oncology Clinical Researchers to bring real-world rigor to cutting-edge AI development. You'll work with leading AI research teams to ensure that oncology trial data, clinical insights, and regulatory standards are accurately reflected in next-generation AI systems.
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 frameworks — including study protocols, patient enrollment criteria, and regulatory compliance standards
- Analyze cancer trial data across safety, efficacy, and biomarker endpoints to assess treatment performance
- Translate trial outcomes into structured regulatory and scientific reports aligned with FDA/EMA submission standards
- Review and evaluate AI-generated clinical insights for accuracy, clinical relevance, and regulatory soundness
- Help ensure AI models reason correctly about real oncology data — from trial design through data readout
Who You Are
- Experienced in designing and managing oncology clinical trials from protocol development through final data readout
- Strong background in analyzing oncology clinical data — including primary and secondary endpoints, safety profiles, and biomarker results
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you hold AI-generated content to the same standard you'd apply in a real clinical setting
- Comfortable working independently and asynchronously on your own schedule
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Background in translational oncology, precision medicine, or companion diagnostics
- Experience contributing to or reviewing publications, INDs, or NDAs
Why Join Us
- Work directly on frontier AI systems transforming how cancer research is understood and applied
- Influence how AI models interpret, evaluate, and communicate real oncology data
- Fully remote and flexible — structure your work around your life, not the other way around
- Collaborate with world-leading AI research teams on problems that actually matter
- Freelance autonomy with the substance of genuinely impactful, expert-level work
- Potential for ongoing work and contract extension as new projects launch