About the Role
What if your deep knowledge of cancer clinical trials could directly shape how AI understands and reasons about oncology — improving the tools that researchers, clinicians, and scientists rely on?
We're looking for Oncology Clinical Researchers to bring real-world clinical expertise into cutting-edge AI development. You'll evaluate, review, and inform AI-generated oncology content — ensuring it reflects the scientific rigor, regulatory standards, and clinical nuance that this field demands.
This is a fully remote, flexible contract role. No AI background needed — just serious expertise in oncology clinical research and a sharp eye for accuracy.
- 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 expertise in trial design to assess AI outputs against real-world protocol standards — including patient enrollment, endpoint selection, and compliance requirements
- Analyze AI-generated interpretations of cancer trial data, including safety profiles, efficacy outcomes, and biomarker findings
- Evaluate whether AI-produced regulatory and scientific summaries meet the standards expected for FDA/EMA submissions and clinical publications
- Provide structured, detailed feedback that directly improves how AI systems reason about 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 background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and rigorous — you hold AI outputs to the same standards you'd apply in real clinical practice
- Comfortable providing clear, structured written feedback across a range of oncology topics
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Background in translational oncology, clinical pharmacology, or biomarker science
- Experience contributing to peer-reviewed publications or regulatory submissions
- Familiarity with multiple oncology therapeutic areas — solid tumors, hematologic malignancies, immunotherapy, etc.
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research
- Influence how AI models understand and reason about real oncology data — at the source
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, impactful work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch