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 transform how cancer is diagnosed and treated?
We're looking for experienced Oncology Clinical Researchers to bring rigorous, real-world clinical trial knowledge into cutting-edge AI development workflows. You'll review, evaluate, and inform AI-generated oncology content — ensuring it reflects the scientific, regulatory, and clinical standards that matter in practice.
This is a fully remote, flexible contract role built for working oncology researchers and clinical scientists who want to engage with frontier AI on their own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Evaluate AI-generated oncology content for clinical accuracy, scientific rigor, and regulatory alignment
- Apply your expertise in study protocol design, patient enrollment standards, and trial oversight to assess AI outputs against real-world best practices
- Analyze and interpret cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to identify errors or gaps in AI reasoning
- Review AI-generated regulatory and scientific content for alignment with FDA, EMA, and international submission standards
- Provide structured, expert feedback that directly improves how AI models understand and generate oncology knowledge
- 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 clinical trial data, including primary and secondary endpoints, safety reporting, and biomarker analysis
- Familiar with regulatory submission standards and documentation requirements for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in a real clinical or regulatory setting
- Able to communicate complex clinical findings clearly in written feedback
- Self-motivated and comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, evaluation systems, or AI quality workflows
- Background in translational oncology, biostatistics, or clinical pharmacology
- Experience authoring or reviewing regulatory submissions, clinical study reports, or scientific publications
- Familiarity with AI tools or clinical decision support systems
Why Join Us
- Work directly on frontier AI systems being developed alongside the world's leading AI research labs
- Fully remote and flexible — work when and where it suits you, on a schedule you control
- Freelance autonomy with the substance of meaningful, high-impact work
- Contribute to AI that could reshape how cancer research is conducted and communicated at a global scale
- Potential for ongoing work and contract extension as new oncology AI projects launch