Principal Statistical Methodologist

Principal Statistical Methodologist

We are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in Raleigh (US).

You will help shape how evidence is generated and communicated across the drug development lifecycle—from early clinical development to regulatory approval and lifecycle work. You will provide expert statistical consultation on trial design and analysis, develop and apply advanced methods, and translate complex quantitative concepts into clear insights for cross-functional partners. You will also contribute to scientific communications and external collaboration through publications and industry initiatives.

You will be part of a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values curiosity and problem solving, practical innovation, clear communication, and collaboration—bringing novel statistical approaches into real study decisions and sharing learnings with the wider scientific community.

• Provide statistical consultation on clinical trial design and analysis across multiple development stages and therapy areas.
• Develop and implement innovative statistical approaches, including model-based methods using frequentist and Bayesian techniques.
• Run or guide advanced analyses and simulations to inform design options, sample size, and power trade-offs.
• Communicate complex quantitative topics clearly using visuals, simulations, and plain language for diverse audiences.
• Contribute to internal learning by delivering training on advanced statistical concepts for non-statisticians and statisticians.
• Contribute to the group’s external profile through scientific publications, conference presentations, and participation in cross-industry initiatives and working groups.

• Doctoral degree in statistics, mathematics, or a closely related scientific discipline.
• 3+ years of experience working in biostatistics within the pharmaceutical industry. Experience in statistical methodology for clinical development (early to late stage) is an advantage.
• Expertise in advanced statistical methods and innovative trial design; experience with causal inference and estimands is an advantage.
• Strong statistical programming skills (R preferred; equivalent tools considered).
• Sound knowledge of ICH guidelines and understanding of regulatory requirements from major health authorities.
• Ability to work effectively with autonomy, manage multiple priorities, and deliver timely, high-quality outputs.

UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities, contact us on EMEA-Rea