Process modeling (Protein/Antigen) Principal Data Scientist - Canopy

Job title: Process modelling (Protein/Antigen) Principal Data Scientist Location: Waltham, MA About the Job As Principal Data Scientist within our Process Modeling – Vaccines R&D Data & Computational Science team, you'll lead the development of AI, machine learning, and hybrid modeling solutions that accelerate the future of recombinant protein vaccine manufacturing. Ready to get started? Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you'll help advance prevention on a global scale - and shape the future of immunization. Join the engine of Sanofi's mission — where deep immunoscience meets bold, AI-powered research. In R&D, you'll drive breakthroughs that could turn the impossible into possible for millions. In this role, you'll work closely with process development, analytical, and manufacturing teams to improve process understanding and optimize performance across CHO cell culture, baculovirus expression systems, protein purification, and cell line development. You'll bring scientific rigor and computational innovation together to enable data-driven decisions that strengthen how we develop and manufacture life-saving vaccines. About Sanofi We're an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives. Main Responsibilities • Lead the development and deployment of AI, machine learning, mechanistic, and hybrid modeling solutions to accelerate recombinant protein vaccine process development and manufacturing. • Apply advanced analytics to identify critical process parameters, predict product quality, improve yield, and optimize process performance. • Develop modeling solutions for upstream processes, including CHO cell culture, baculovirus and insect cell expression systems, and cell line development. • Support optimization of downstream purification operations, including chromatography, filtration, and ultrafiltration/diafiltration, through data-driven and model-based approaches. • Build and deploy digital twins, simulation tools, and decision-support frameworks to support process optimization, scale-up, technology transfer, and lifecycle management. • Collaborate with process development, analytical sciences, manufacturing, and digital teams to integrate process knowledge and data into actionable insights. • Provide scientific leadership and mentorship in AI, machine learning, data science, and process modeling across the organization. About You Basic Qualifications Education • Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Computational Biology, Data Science, Applied Mathematics, or a related scientific discipline   Experience • 2+ years of relevant experience in the pharmaceutical industry   Preferred Qualifications • Background applying data science, machine learning, and process modeling in biopharmaceutical, biologics, vaccine, or related development environments, including recombinant protein production and manufacturing. • Expertise in AI, machine learning, multivariate data analysis, mechanistic and hybrid modeling, digital twins, process simulation, Bayesian optimization, and Design of Experiments, including model-based approaches. • Experience supporting CHO cell culture, baculovirus expression systems, protein purification, and/or cell line development • Proficiency in scientific computing and modeling platforms such as Python, R, MATLAB, JMP, gPROMS, GoSilico, or equivalent tools • Stron