Principal Statistical Methodologist

Make your mark for patients 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 any of our Braine l'Alleud (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.

About the role
Who you will 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 curiosity and problem solving, practical innovation, clear communication, and collaboration, bringing novel quantitative and computational approaches into real study decisions and sharing learnings with the wider scientific community. What you will do
- Build robust, well-engineered, reusable tools and workflows that bring these methods into routine use, with attention to reproducibility and software quality.
- Bring a quantitative lens with appropriate rigor to emerging problems such as synthetic and external control data, causal inference, and digital-twin or simulation-based approaches.
- Partner with statisticians and cross-functional colleagues to identify where computational and data-driven methods add the most leverage, and translate complex approaches into clear insight for technical and non-technical audiences.
- Contribute to internal capability building by sharing tools, code, and methods across the team and wider organization.
- Contribute to the group's external profile through scientific publications, conference presentations, and participation in cross-industry initiatives and working groups. Interested? Here is what we are looking for
- Doctoral degree in statistics, biostatistics, mathematics, computer science with a strong quantitative/statistical component, or a closely related discipline with a solid grounding in statistical inference and uncertainty.
- 3+ years of experience within the pharmaceutical industry. Experience in advanced computational methodology for clinical development (early to late stage) is an advantage. Direct entry may be considered.
- Strong, multi-language scientific programming skills (R and Python preferred; software-engineering practices such as version control, testing, and reproducible workflows a clear advantage).
- 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.
- Clear written and spoken communication in English, including the ability to explain technical concepts to non-technical audiences. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. - Requisition ID: 93634 Recruiter: Kevin Ross Hiring Manager: Baldur Magnusson Talent Partner: Natacha Tassier Job Level: MM II Please consult HRAnswers for more information on job levels.