Oncology Clinical Researcher (AI Training) About The Role What if your deep expertise in cancer clinical trials could directly shape how AI reasons about oncology — influencing the tools that will define the next era of cancer research and care? We're looking for experienced Oncology Clinical Researchers to bring real-world clinical rigor into AI-driven research workflows. You'll evaluate, validate, and improve how advanced AI systems understand oncology trial data — ensuring that the science behind cutting-edge AI reflects genuine regulatory, clinical, and scientific standards.

This is a fully remote, flexible contract role built for experienced oncology professionals who want to do meaningful work on their own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Design and evaluate oncology clinical trial frameworks — including study protocols, patient enrollment criteria, and regulatory compliance considerations

Analyze cancer trial data covering safety endpoints, efficacy outcomes, and biomarker results to assess treatment performance

Translate complex trial outcomes into explicit regulatory and scientific narratives aligned with FDA/EMA submission standards

Review and critique AI-generated oncology insights for clinical accuracy, scientific validity, and regulatory alignment





Apply your domain expertise to improve how AI models understand and reason about real-world 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 clinical oncology data — including primary and secondary 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-generated content to the same standards you'd apply in a real clinical setting

Comfortable working independently on structured, task-based assignments Nice to Have Prior experience with data annotation, data quality evaluation, or AI model assessment workflows

Background in oncology publications, clinical decision support, or medical writing

Experience across multiple cancer types or therapeutic modalities Why Join Us Work directly on frontier AI systems that are transforming how cancer research is understood and conducted

Influence how AI models reason about real oncology data — at a scale no individual trial could achieve

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

📌 Oncology Clinical Researcher (Canada)
🏢 Alignerr
📍 Canada