About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the next generation of tools used by researchers, clinicians, and regulators worldwide?
We're looking for Oncology Clinical Researchers to bring real-world trial experience into cutting-edge AI development workflows. You'll ensure that AI systems trained on oncology data reflect genuine scientific, regulatory, and clinical standards — the kind of nuance that only comes from someone who has actually worked in the field.
This is a fully remote, flexible contract role. No AI background needed — just deep oncology expertise and a sharp eye for clinical accuracy.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and evaluate oncology clinical trial protocols, assessing study design, patient enrollment criteria, and regulatory and ethical compliance
- Analyze cancer trial data — including safety profiles, efficacy endpoints, and biomarker results — to evaluate treatment performance and data quality
- Translate trial outcomes into clear regulatory and scientific reporting frameworks aligned with FDA/EMA submission standards
- Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment
- Provide structured, expert feedback that directly improves how AI models reason about cancer research 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 oncology data analysis — including endpoints, safety reporting, and biomarker interpretation
- Familiar with regulatory submission standards for agencies such as the FDA or EMA
- Detail-oriented and methodical, with the ability to identify when AI-generated clinical content misses the mark
- Comfortable working independently and delivering structured written feedback
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation systems
- Background in translational oncology, clinical pharmacology, or regulatory affairs
- Experience contributing to peer-reviewed publications or IND/NDA submissions
- Familiarity with AI tools or clinical data platforms as an end user
Why Join Us
- Work directly on frontier AI systems being built to transform cancer research and clinical decision-making
- Influence how AI models understand real oncology data — at a scale no single trial could reach
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch