Principal Computational Methodologist

pbMake your mark for patients /b /p pWe are looking for a bPrincipal Computational Methodologist /b who is curious, collaborative, and impact-driven to join our bAdvanced Methods and Data Science /b team within Biometrics and Data Science, based in any of our Brussels (Belgium), Slough (UK) or Raleigh (US). /p h3About The Role /h3 pYou will help shape how advanced AI, machine learning, and computational methods support clinical development. You will design, validate, and deploy models that help teams make evidence-based decisions in areas such as biomarker discovery, clinical trial design, operational efficiency, and patient experience. You will guide scientific thinking, turn complex methods into practical solutions, and help build scalable tools that meet scientific, technical, and regulatory expectations. /p h3Who You Will Work With /h3 pYou will join Advanced Methods and Data Science, part of Biometrics and Data Science within Patient Evidence. You will work with clinical, statistical, molecular, operational, engineering, IT, governance, and compliance colleagues across countries. You will also connect with academic, technology, and industry partners. Together, you will explore new methods, share scientific learning, and support teams that use data to improve decision-making across the drug development value chain. /p h3What You Will Do /h3 ul liYou will lead AI and machine learning projects that address clinical development, biomarker, operational, and decision-support needs. /li liYou will design, build, test, and refine modern deep learning models for text, graphs, biological sequences, and clinical data. /li liYou will develop generative AI applications using foundation models, pre-trained models, and large language models. /li liYou will run rigorous, reproducible AI experiments on internal and public datasets to generate publishable scientific results. /li liYou will partner with engineering teams to package methods into applications, platforms, and scalable validated solutions. /li liYou will mentor colleagues, share knowledge, and represent the team through publications, presentations, and external collaborations. /li /ul pbInterested? For this role, we are looking for the following education, experience, and

skills:
/b /p ul liYou have a PhD in Statistics, Computer Science, Engineering, Computational Biology, Statistical Genetics, Mathematics, or a related scientific field. /li liYou bring experience in industry, ideally within pharma, clinical development, life sciences, or another regulated data-focused environment. /li liYou can program confidently in Python, R, or similar languages, and you can support others with practical coding guidance. /li liYou understand supervised, unsupervised, Bayesian, and deep learning methods, and can apply them to real-world scientific questions. /li liYou have experience with ML infrastructure, reproducible research, Linux or HPC environments, and software or platform development. /li liYou communicate clearly with scientific, technical, medical, and business partners, and enjoy working in a collaborative, multidisciplinary team. /li /ul pAre 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 /p h3About Us /h3 pUCB 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. /p h3Why work with us? /h3 pAt 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. /p pAt UCB, we’ve 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. /p pUCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. /p pShould 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. /p