2027 Spring Co-op Scientific Data Support Analyst - mRNA Center of Excellence - Vaccines, Waltham, MA

Job Title: 2027 Spring Co-op Scientific Data Support Analyst - mRNA Center of Excellence - Vaccines 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 Scientific Data Support Analyst - mRNA Center of Excellence - Vaccines team. Join our mission to harness the power of mRNA technology to transform medicine. At Sanofi, we are dedicated to advancing health technology and are seeking enthusiastic, ambitious students to contribute to our dynamic team. Explore the cutting edge of health innovation and be part of a €400m annual investment aimed at developing next-generation vaccines and treatments. The Co-op - Scientific Data Support Analyst will work within the CMC Process Development & Industrialization (PD&I) department, supporting the alignment of data sets and enhancing the efficiency of digital tools used by our scientists. This role is crucial for facilitating effective data management practices and promoting the use of digital resources across our research platforms. 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 Assist in the review and analysis of current data practices within lab-based depa