Principal Statistical Methodologist (UK)

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 lAlleud (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 approachesdrawing on statistics machine learning and AItranslate 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 groups 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 groups 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!

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 dont just complete tasks we create value. We arent 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 thats 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 weve embraced a hybrid-first approach to work bringing teams together in local hubs to foster collaborative curiosity. Unless expressly 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 laws.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

Required Experience:

Staff IC

Employment Type : Full Time
Experience: years
Vacancy: 1