Senior Statistical Methodologist — AI, ML & Simulation

UCB; Brussel; Sur place; EUR 110 000 - 140 000; Plein temps

Résumé du poste

UCB is seeking a Principal Statistical Methodologist to join the Statistical Innovation team within Biometric and Data Sciences, based in our offices in Belgium, Germany, the UK or the US.

You will shape how evidence is generated and modeled across the drug development lifecycle, applying advanced data‑driven and model‑based methods (statistics, ML, AI) and translating them into robust, reusable tools that inform decision making.

Qualifications

• Doctoral degree in statistics, biostatistics, mathematics, computer science with strong quantitative component.
• 3+ years of experience in the pharmaceutical industry; clinical development experience advantageous.
• Strong programming skills in R and Python; familiarity with version control, testing, and reproducible workflows.
• Demonstrated expertise in machine learning/AI methods; experience with ML/AI in real problems.

Responsabilités

• 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 for routine use with reproducible software quality.
• Explore synthetic data, causal inference, digital-twin, and simulation approaches where relevant.
• Collaborate with statisticians and cross‑functional teams to translate complex methods into actionable insights.

Connaissances

R

Python

Machine learning

AI methods

Statistical inference

English communication

Formation

Doctoral degree in statistics or related field

Outils

R

Python

Git

Jupyter

Description du poste

UCB is seeking a Principal Statistical Methodologist to join the Statistical Innovation team within Biometric and Data Sciences, based in our offices in Belgium, Germany, the UK or the US.

You will shape how evidence is generated and modeled across the drug development lifecycle, applying advanced data‑driven and model‑based methods (statistics, ML, AI) and translating them into robust, reusable tools that inform decision making.