In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

• Author and review evaluation tasks that require nuanced clinical judgment, leveraging Clinical Study Reports, periodic safety reports, and regulatory correspondence in oncology and haematology.
• Assess the clinical defensibility of efficacy and safety conclusions, ensuring endpoints and effect sizes reflect true clinical significance.
• Apply advanced judgment to dose escalation, dose-limiting toxicity, modifications, adverse event grading and attribution, and the coherence of patient narratives.
• Evaluate benefit-risk reasoning, scrutinizing the durability of conclusions in light of new events, and the realism of described management strategies.
• Identify and flag content that is clinically implausible or internally inconsistent, distinguishing these from legitimate clinical variation.
• Provide structured, guideline-based written rationales that clearly explain the validity or limitations of clinical interpretations for a non-clinical audience.

Work arrangement: Fully remote