PAT Senior Data Scientist - Canopy

Job title: PAT Senior Data Scientist Location: Waltham, MA About the Job As Senior Data Scientist – Process Analytical Technology (PAT) within our Process Modeling – Vaccines R&D Data & Computational Science team, you'll turn real-time process and sensor data into the insights that keep vaccine manufacturing precise, predictable, and ready to scale. 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 immuno-science 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 build machine learning and chemometric models that give process development, manufacturing, and analytical teams real-time visibility into vaccine production, spanning mRNA, recombinant protein, and viral vector platforms. You'll work at the intersection of data science and bioprocessing, helping ensure every batch meets the quality that patients depend on. 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 • Develop and deploy predictive models and monitoring tools that support real-time oversight of vaccine development and manufacturing processes. • Build predictive models and soft sensors for critical process parameters and critical quality attributes using process and analytical data. • Analyze data from spectroscopic and sensor-based monitoring tools, including Raman, near-infrared, infrared, and UV-visible technologies, across online, in-line, and at-line settings. • Apply multivariate analysis, machine learning, and statistical techniques to strengthen process understanding, performance, and product quality. • Partner with process development, manufacturing, analytical sciences, automation, and digital teams to bring these solutions into development and commercial manufacturing settings. • Support process characterization, scale-up, technology transfer, validation, and ongoing process verification through advanced data analysis. • Help shape strategy and best practices for real-time process monitoring across mRNA and non-mRNA vaccine platforms. About You Basic Qualifications Education • Ph.D. in Chemical Engineering, Bioengineering, Biotechnology, Analytical Chemistry, Data Science, Applied Mathematics, or a related scientific field. Experience • 1+ years of relevant experience in the pharmaceutical industry or academia. Interns and co-ops will be considered. Preferred Qualifications • Hands-on experience developing and applying real-time process monitoring, chemometric, machine learning, or data science solutions within biopharmaceutical, biotechnology, or vaccine development and manufacturing settings. • Expertise in chemometrics, multivariate data analysis, machine learning, and spectroscopy-based monitoring (Raman, near-infrared, infrared, UV-visible). • Experience developing calibration, prediction, classification, and soft sensor models using process and analytical data. • Proficiency in Python, SIMCA, SynTQ, or Unscrambler. • Strong problem-solving, communication, and collaboration skills across multidisciplinary teams. Languages : Fluent English required. Why Choose Us? • Bring the miracles of science to life alongside a supportive, future-foc