Principal Computational Methodologist

ppWe 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 h3bAbout The Role /b /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 h3bWho You Will Work With /b /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 h3bWhat You Will Do /b /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 h3bInterested? For this role, we are looking for the following education, experience, and

skills:
/b /h3 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 h3bUCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable laws. /b /h3 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 /p