Associate Director / Director, Biostatistics

Major accountabilities:

• Provide strategic statistical leadership for HTA, pricing and reimbursement, market access, and integrated evidence-generation activities across assigned programs.
• Partner with cross-functional and cross-regional teams to ensure HTA evidence is scientifically rigorous, decision-relevant, and aligned with intended use.
• Lead the implementation of efficient HTA methods. Demonstrated hands-on experience with population-adjustment methodology and evidence synthesis. Ability to select, implement, critique, and defend methods under payer scrutiny.
• Advanced practical experience in several additional methods relevant to HTA, such as survival extrapolation, treatment-switching adjustment, health-state utility analysis for mapping and application of preference weights, causal inference involving real-world evidence, missing-data methods, external controls and transportability.
• Strong understanding of drug development and the relationship between regulatory and payer requirements across the product lifecycle.
• Drive early and continuous evidence synthesis strategy to inform HTA planning and decision-making.
• Contribute to standards, reusable templates, automation, and best practices that improve the quality, consistency, and scalability of HTA analyses.
• Support responses to payers and HTA questions and contribute to scientific interactions with decision-making agencies, healthcare professionals, and external experts.
• Communicate complex statistical findings, assumptions, limitations, and recommendations clearly to statistical and non-statistical stakeholders.
• Contribute to publication work across assets.
• Plan, prioritize, and oversee project-level activities across parallel programs, ensuring effective resource management and delivery of high-quality statistical outputs.
• Support vendor selection and provide scientific and quality oversight for outsourced HTA activities
• Established scientific credibility demonstrated through peer-reviewed publications, conference presentations, methodological contributions, guidance development, or active leadership in relevant professional or HTA special-interest groups. Director candidates should demonstrate a sustained and visible external contribution.
• Coach and mentor biostatisticians in HTA statistical methodologies, processes, and scientific communication.

Essential requirements

• PhD in Statistics, Biostatistics, Mathematics or a related quantitative field with at least 8 years of relevant experience, or a master’s degree with at least 12 years of relevant experience.
• Demonstrated expertise in HTA, reimbursement evidence generation, and indirect treatment comparison methods
• Advanced understanding of drug development and the evidence needs, decision drivers, and review processes of major HTA and reimbursement bodies across multiple regions.
• Demonstrated ability to lead and deliver multiple complex, parallel projects across therapeutic areas and to influence senior decision-making in a global matrix environment.
• Excellent interpersonal and communication skills

Desirable requirements

• Experience supporting Joint Clinical Assessment requirements in Europe.
• Experience in Immunology and/or another major therapeutic area.
• Experience with health economics and outcomes research, real-world evidence, data science, automation, or AI-enabled evidence generation.