Statistical Methodologist (US)

UCB • Raleigh, NC

12h • Hybrid

About The Position

We are looking for a Statistical Methodologist who is curious, collaborative, and impact-focused to join us in our Biometrics and Data Science team, based in any of our Brussels (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.
About the role
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.
Who you’ll work with
You will be working in 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 practical innovation, clear communication, and collaboration—bringing novel statistical approaches into real study decisions and sharing learnings with the wider scientific community.

Requirements

• Doctoral degree in statistics, mathematics, or a closely related scientific discipline.
• Experience in statistical methodology for clinical development (early to late stage); direct entry may be considered.
• Strong statistical programming skills (R preferred; equivalent tools considered).
• Ability to work effectively with autonomy, manage multiple priorities, and deliver timely, high-quality outputs.
• Clear written and spoken communication in English, including the ability to explain statistics to non-technical audiences.

Nice To Haves

• Working knowledge of global clinical trial guidelines and major health authority expectations is an advantage.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees