2027 Spring Co-op Bioinformatic Digital Data Scientist - Global Immunology, Waltham, MA

Job Title: 2027 Spring Co-op Bioinformatic Digital Data Scientist - Global Immunology Grade: Co-op Location: Waltham, MA Duration: 6 months About the Job Looking to launch your career at the cutting edge of healthcare? Join Sanofi for a chance to develop with mentoring and guidance from inspirational leaders while helping to make an impact on the lives of countless people worldwide. We are seeking a highly motivated Spring Co-op to join our Bioinformatic Digital Data Scientist - Global Immunology team. The Global Immunology department in Sanofi, Vaccines R&D is seeking a highly motivated and organized Co-op student to join the Early-Stage Immunology group. This position will serve as an integral member of a research team responsible for supporting our Immunology and Vaccines organizations by supporting complex data entries in the electronic notebooks, analyzing biological datasets, developing computational models, and discovering insights through statistical and algorithmic techniques. Ready to grow your skills while helping shape the future of healthcare? At Sanofi, you’ll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. 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 implement computational pipelines and analytical methods for processing large-scale immunological datasets from vaccine research and development programs. Quality check research data entries to the electronic notebooks. Be responsible for analyzing and interpreting complex biological data from various sources including genomic sequencing, proteomics, and im