Senior Director of Biometrics (Italia)

Senior Director of Biometrics (Italia)

10 ago
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Altro
|
Italia

10 ago

Altro

Italia

Senior Director, Global Biometrics & Analytics | Global Pharmaceutical Company | Hybrid | Italy / Sweden | Permanent
A leading global pharmaceutical organisation is looking to appoint an accomplished Senior Director of Global Biostatistics to join its R&D; leadership team during an exciting period of scientific growth and transformation. The opportunity is also open to other areas including; France, UK.
Reporting directly to the Head of Global Clinical Development , you will lead the strategic direction of the global Biostatistics function, influencing clinical development programmes from early proof-of-concept through to regulatory approval.
This role is ideally suited to a senior statistician who enjoys remaining scientifically hands‐on while shaping development strategy across a global portfolio. Working closely with executive stakeholders, you will drive statistical innovation, champion modern methodologies, and help accelerate drug development through robust, data‐driven decision making.




You will also provide leadership to an established global Biometrics organisation of around 30 professionals spanning Biostatistics, Statistical Programming and Data Management . Although you will have overall functional responsibility, the emphasis of this position is on scientific leadership, strategic direction and technical excellence rather than day‐to‐day operational management.
Key Responsibilities Provide strategic statistical leadership across global early and late-phase clinical development programmes.
Develop and execute the overarching Biostatistics strategy in alignment with Clinical Development and wider R&D; objectives.
Lead statistical contributions to clinical development plans, study designs, protocol development and regulatory submission strategies.
Drive the adoption of innovative statistical methodologies, including Bayesian approaches, adaptive trial designs, interim analyses and model-informed drug development.
Advise on complex statistical challenges such

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