Principal Statistical Methodologist (Germany)

UCB; Mettmann; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

UCB seeks a Principal Statistical Methodologist to join the Biometric and Data Sciences team. This role focuses on shaping evidence generation, modeling, and communication across the drug development lifecycle, applying statistics, ML, and AI to influence R&D decisions.

You will develop robust tools, contribute to the scientific profile via publications, and collaborate with clinical development, data science, and medical affairs.

Qualifikationen

• Doctoral degree in statistics, biostatistics, math, CS, or related with strong inference

Aufgaben

• Develop and apply advanced computational and statistical methods including ML/AI to inform design, analysis and decisions across development
• Build robust, reusable tools and workflows with attention to reproducibility and software quality
• Address emerging problems such as synthetic/external control data, causal inference, digital twins/simulation
• Collaborate with statisticians and cross-functional teams to translate complex methods into clear insights
• Share tools, code, and methods across the team and organization
• Contribute to external profile through publications, conferences and cross-industry initiatives

Kenntnisse

Statistical programming

Machine learning

English communication

Pharma domain knowledge

Ausbildung

Doctoral degree in statistics or related field

Tools

R

Python

Git

Jobbeschreibung

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

You will help shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine‑learning methods to bear on real R&D decisions. You will develop and apply advanced data‑driven and model‑based approaches—drawing on statistics, machine learning, and AI—translate them into robust, reusable tools, and partner across functions to put them to work where they impact drug development decision making.

You will also contribute to the group's scientific profile through publications and external collaboration.

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

• Develop and apply advanced computational and statistical methods, including machine learning, AI, and scenario evaluation using modern simulation approaches, to inform design, analysis, and decision‑making across development.
• 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).
• Demonstrated expertise in machine learning and/or AI methods, with hands‑on experience applying them to real problems; experience with large language models, causal inference, synthetic data, or digital‑twin/simulation approaches is a strong 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.

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!

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 [e-mail]. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.