About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing tools that may one day support researchers, clinicians, and patients worldwide?
We're looking for experienced Oncology Clinical Researchers to bring real-world scientific and regulatory expertise into cutting-edge AI development. You'll evaluate, guide, and improve AI-generated clinical insights — ensuring the systems being built today reflect the rigor, nuance, and complexity of real oncology research.
This is a fully remote, flexible contract role built for experienced oncology professionals who want to contribute to something genuinely frontier — on their own schedule.
- 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 clear, structured reporting aligned with FDA/EMA submission standards and clinical decision-making needs
- Review and critique AI-generated oncology insights for scientific accuracy, clinical relevance, and regulatory alignment
- Identify gaps, errors, and limitations in how AI models interpret and present clinical trial 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 biomarker analysis
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you know when clinical reasoning doesn't hold up
- Comfortable working independently on structured, task-based assignments
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI output review
- Background in translational oncology, clinical pharmacology, or related fields
- Experience contributing to regulatory documents, clinical study reports, or publications
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to understand real-world cancer research
- Fully remote and flexible — contribute on a schedule that fits your life
- Freelance autonomy with the structure of meaningful, task-based work
- Shape how AI models reason about oncology — a domain where accuracy genuinely matters
- Collaborate with leading AI research labs and teams at the cutting edge of the field
- Potential for ongoing work and contract extension as new projects launch