Quantitative Safety Science
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Shape the quantitative science behind Graph Safety’s signal detection, risk management, and therapeutic analytics. This role brings together statistical methods, real-world evidence, and pharmacovigilance expertise to build explainable, auditable safety intelligence across the full lifecycle of a molecule.Design and validate statistical signal-detection methods powering the /signal moduleDefine therapeutic-class assessments, comparators, stratification, and risk metricsExtend safety analysis upstream across discovery, preclinical, clinical, and post-marketing stagesPrototype innovative quantitative methods using Python or R and translate them into product featuresPartner with engineering and AI teams to build methods that are explainable, auditable, and regulator-ready