About the Role
What if your deep expertise in cancer clinical trials could directly shape how AI understands and reasons about oncology — influencing the tools that may one day transform how cancer is diagnosed and treated?
We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into cutting-edge AI development. You'll evaluate and inform AI systems being trained on oncology data — ensuring they reflect the scientific, regulatory, and clinical standards that actually matter in cancer research.
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, covering patient enrollment, regulatory compliance, and ethical standards
- Analyze cancer trial data — including safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance
- Translate trial outcomes into regulatory and scientific frameworks aligned with FDA, EMA, and other major agency standards
- Review and critique AI-generated oncology insights for clinical accuracy, scientific relevance, and regulatory alignment
- Flag errors, gaps, and misrepresentations in AI outputs related to cancer research and clinical trial methodology
- 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 with a systematic, rigorous approach to scientific evaluation
- Able to communicate complex clinical concepts clearly in written form
- No prior AI or tech experience required
Nice to Have
- Prior experience with data annotation, data quality review, or evaluation systems
- Background in translational oncology or clinical operations
- Experience contributing to peer-reviewed publications or regulatory submissions
- Familiarity with AI tools or clinical informatics platforms
Why Join Us
- Work directly on frontier AI systems being built to understand and advance cancer research
- Influence how AI models reason about real oncology data — a genuinely rare opportunity
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Collaborate with world-leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch