Senior Director, Statistical Innovation

Overview

In this role you will lead the Statistical Innovation function within Biometry, driving innovative trial design, modelling, and data-driven decisions across Ipsen’s R&D portfolio. You will guide a small expert team to develop and implement advanced methodologies that improve study efficiency, patient stratification, and portfolio value. You will collaborate across clinical, regulatory, and asset teams to ensure rigorous, regulatory-ready solutions. This is a chance to shape high-impact statistical approaches at scale.

Responsibilities

• Lead a 3–5 person specialist team and set strategy for statistical innovation
• Advise on innovative trial designs (adaptive, Bayesian, enrichment, master protocols) and simulation
• Develop frameworks for operating characteristics, sample size, and decision rules
• Lead advanced modelling (disease progression, patient journeys, digital twins, virtual controls)
• Drive data mining and predictive modelling to identify subgroups and predictors
• Advise on external controls, Bayesian borrowing, historical data and RWE with regulatory considerations
• Establish standards, reusable code, and governance for innovation deliverables
• Mentor and develop statisticians, oversee delivery, and ensure robust, submission-ready outputs
• Represent Biometry in governance, asset reviews, and external scientific discussions
• Build external networks with academia and industry to stay current
• Communicate complex methods clearly to senior stakeholders

Key requirements

• 10+ years of quantitative experience in pharma/biotech/CRO with PhD or equivalent/MS
• Deep expertise in innovative trial design, modelling, simulation, predictive analytics, and data mining
• Strong understanding of clinical development, estimands, missing data, bias and confounding
• Experience leading quantitative teams with coaching and succession planning
• Strong programming in R, Python, or SAS with reproducible workflows
• Proven ability to influence cross-functional teams and communicate complex methods

• Strategic thinking
• Leadership and people development
• Effective cross-functional communication
• Innovative trial design (adaptive, Bayesian, enrichment, external controls)
• Simulation and operating characteristics assessment
• Digital twins and virtual controls

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