Oncology Clinical Researcher

Oncology Clinical Researcher (AI Training)

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 save lives at scale?

We're looking for Oncology Clinical Researchers to bring real-world clinical rigor into the AI systems being built by the world's leading research labs. You'll ensure that AI-generated oncology insights reflect the regulatory, scientific, and clinical standards that matter most — and that the data powering these models is grounded in how cancer research actually works.

This is a fully remote, flexible contract role. No AI background needed — just deep expertise in oncology clinical trials and a sharp eye for scientific accuracy.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design and evaluate oncology clinical trial protocols, including patient enrollment criteria, endpoint selection, and regulatory compliance frameworks
• Analyze cancer trial data — safety profiles, efficacy outcomes, and biomarker results — to assess treatment performance and data quality
• Review and critique AI-generated clinical insights for scientific accuracy, clinical relevance, and alignment with FDA/EMA regulatory standards
• Translate complex trial outcomes into clear, structured evaluations that help AI systems learn to reason correctly about oncology data
• Flag errors, gaps, and misrepresentations in AI-generated content related to cancer research and clinical methodology
• Work independently and asynchronously on task-based assignments — 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 primary and secondary endpoints, safety reporting, and biomarker interpretation
• Familiar with regulatory submission standards for agencies such as the FDA or EMA
• Detail-oriented and rigorous — you notice when clinical reasoning doesn't hold up
• Able to communicate complex scientific concepts clearly in writing
• No prior AI or tech experience required

Nice to Have

• Experience with data annotation, data quality review, or clinical evaluation workflows
• Background in oncology drug development, translational research, or medical affairs
• Familiarity with AI tools or clinical decision support systems as an end user
• Publications or regulatory submission experience in an oncology context

Why Join Us

• Work directly on frontier AI systems being built to transform cancer research
• Influence how AI models understand, interpret, and reason about real oncology data
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Collaborate with a global network of domain experts and leading AI research teams
• Potential for ongoing work and contract extension as new projects launch