Associate Director / Director, Biostatistics

Overview

In this role you provide strategic statistical leadership for HTA, pricing, reimbursement and market access. You will partner with cross-functional teams to deliver scientifically rigorous, payer-relevant evidence and advance HTA capabilities across the product lifecycle. You will drive evidence generation, methodological innovation and external-communication with HTA bodies, while shaping standards and templates for scalable analyses. This is a high-impact, cross-regional position with a clear focus on real-world evidence and decision-making impact.

Pay / Benefits

• insurance plans
• retirement plans
• wellbeing resources
• global recognition programs
• flexible and hybrid working options
• minimum 14 weeks paid parental leave

Responsibilities

• Provide strategic statistical leadership for HTA, pricing and reimbursement, market access and integrated evidence-generation activities across programs
• Collaborate with cross-functional and cross-regional teams to ensure HTA evidence is rigorous and decision-relevant
• Lead implementation of efficient HTA methods and apply population-adjustment, evidence synthesis, and other HTA-specific techniques
• Advise on survival extrapolation, treatment-switching adjustment, health-state utility mapping, causal inference from real-world data, missing-data methods, external controls and transportability
• Support payer responses and scientific interactions with decision-making agencies and healthcare professionals
• Contribute to publication work and ensure high-quality statistical outputs across parallel projects
• Oversee project-level activities, manage resources, and ensure timely delivery of analyses
• Provide scientific and quality oversight for outsourced HTA activities
• Coach and mentor biostatisticians in HTA methodologies and scientific communication
• Establish credibility through peer-reviewed work and active involvement in HTA groups
• Support Joint Clinical Assessment requirements in Europe
• Drive standards, reusable templates, automation, and best practices for HTA analyses

Key requirements

• PhD in Statistics, Biostatistics, Mathematics or related quantitative field with 8+ years of relevant experience, or Master with 12+ years
• Expertise in HTA, reimbursement evidence generation, and indirect treatment comparison methods
• Advanced understanding of drug development and evidence needs of major HTA/reimbursement bodies across regions
• Ability to lead multiple complex projects in a global matrix and influence senior decisions
• Excellent interpersonal and communication skills

• Interpersonal communication
• Leadership and mentoring
• Cross-functional collaboration
• HTA statistics and evidence generation
• Indirect treatment comparison methods
• Population-adjustment and evidence synthesis

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