Summary
Raphaël Goubet is a Lead Data & AI Architect based in Brussels with over a decade of experience marrying data science and IT operations in the pharmaceutical sector. He has progressed from managing electronic publishing and Documentum-based content systems to leading data and AI initiatives at argenx, combining hands-on Python/ML/SQL skills with strong governance in validation, change control, and regulatory documentation. His background in communications and journalism gives him a knack for translating complex technical and regulatory requirements into clear, auditable solutions for quality, clinical and regulatory teams. Comfortable across SaaS, enterprise content management and data analytics stacks, he focuses on operationalizing models and data products within highly controlled environments. Known for pragmatic leadership, he bridges IT, data science and compliance to accelerate scientifically driven decision-making without compromising validation standards.
10 years of coding experience
16 years of employment as a software developer
DEA, Communication, DEA, Communication at Université catholique de Louvain
Data Analyst, Informatics, Data Analyst, Informatics at Wild Code School
License, Journalism, License, Journalism at Haute Ecole Galilée, Bruxelles