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Make your mark for patients 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.
What You’ll Do
- 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
Interested? For this position you’ll need the following education, experience and skills:
- 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).
- Working knowledge of global clinical trial guidelines and major health authority expectations is an advantage.
- 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.
Are you ready to ‘go beyond’ to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!
About Us
UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science.
Why work with us?
At UCB, we don’t just complete tasks, we create value. We aren’t afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We ‘go beyond’ to create value for our patients, and always with a human focus, whether that’s on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential.
At UCB, we’ve embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.
UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.
