Associate Director Biostatistics

Associate Director, Biostatistics (Asset Lead)

Impact: Lead statistical strategy and decision‑making across registration‑directed clinical programmes

Join a large, well‑capitalised global pharmaceutical organisation with a strong and growing US presence. The company is making sustained investments across its clinical development portfolio, with a clear focus on modernising trial design, strengthening evidence generation, and elevating quantitative science as a core driver of success.

Biostatistics is positioned as a strategic scientific function, with statisticians embedded directly into development decision‑making rather than operating as a downstream service.

As the clinical pipeline expands, the organisation is strengthening its statistical leadership bench. This hire is designed to bring in a senior‑level statistician who can operate with autonomy, take ownership of complex studies, and partner credibly with senior Clinical, Regulatory, and Medical stakeholders.

This is a key role within the biometrics group, offering high visibility and genuine influence across active clinical programmes.

• Act as asset‑level statistical lead, owning studies from design through analysis and submission
• Define and execute statistical strategy for registration‑directed trials
• Author and oversee SAPs, analysis plans, and reporting deliverables
• Provide input into study design, endpoints, and analysis approach
• Guide simulation work and innovative design considerations where appropriate
• Partner closely with Clinical Development, Regulatory, Medical, and Data Science teams
• Represent Biostatistics in cross‑functional governance and decision forums
• Ensure high‑quality, timely delivery through internal teams and external vendors

• PhD in Biostatistics, Statistics, or a related discipline
• ~8–10+ years of industry experience in clinical development
• Experience leading Phase I–IV clinical trials
• Strong understanding of statistical methodology and its clinical application
• Confidence handling missing data strategies and regulatory‑grade analyses
• Ability to communicate complex statistical concepts to non‑statisticians
• Experience with SAS; R exposure for simulation work is beneficial

• True asset ownership and accountability
• Statisticians positioned as decision‑makers, not support resources
• High visibility within a growing US development organisation
• Opportunity to influence study design and evidence strategy
• Competitive compensation and long‑term growth potential