Our team is engaging Clinician (Oncology / Hematology)s to contribute to a customer’s project at the forefront of AI in healthcare. 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.
Scope of Work
• 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.
Preferred Qualifications
• Specialist registration or board certification in medical oncology and/or haematology, with 5+ years of post-training clinical experience.
• Direct involvement in clinical trials as investigator, sub-investigator, or sponsor-side medical monitor, safety physician, or clinical development physician.
• Hands-on experience with trial documents such as protocols, investigator brochures, CSRs, safety narratives, or DSMB/IDMC materials.
• Demonstrated excellence in written communication, with clear, structured explanations of clinical reasoning tailored for non-clinical readers.
• Previous roles in medical monitoring or as medical director on oncology or haematology programmes, and committee participation (IDMC, DSMB, adjudication, or independent review committees).
• Peer-reviewed publication record or authorship on clinical trial manuscripts, with any exposure to AI-assisted clinical review tools seen as a plus.
Skills mentioned
clinical oncologyclinical hematologyclinical trial evaluationctcae gradingrecistlugano criteriaimwg criteriaiwcll criteriaeln criteriaoutcome endpoint analysis (orr, dor, pfs, os, mrd)dose escalation assessmentadverse event grading and attributionregulatory document review (csrs, protocols, investigator brochures, safety narratives, dsm/idmc materials)benefit-risk analysisclinical reasoningstructured written communicationguideline-based documentationexplaining complex information to non-clinical audiencesmedical monitoringcommittee participation (idmc, dsmb, adjudication, independent review)peer-reviewed publicationattention to detailcritical thinkingproblem identification and resolution
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