2027 Spring Co-op Site Management Operations, Waltham, MA

Job Title: 2027 Spring Co-op Site Management Operations Grade: Co-op Hiring Manager: Sammy Jo Boccadori 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. As Spring Co-op in our Biologics Drug Product Development Group, you’ll support the US Vaccine R&D Site Operations team. In this role, you will work directly alongside Site Management Operations Leads to assist with day-to-day site activities, operational initiatives, and cross-functional projects across our US R&D facilities. This is an excellent opportunity for students pursuing careers in pharmaceutical/biotech operations, life sciences, engineering, or related fields to gain hands-on experience in a dynamic, GxP-regulated environment. 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

Operational Support

Assist Site Management Operations Leads with tracking and coordinating ongoing site activities, action items, and deliverables. Support the preparation and maintenance of site operational dashboards, metrics, and KPI reports. Help monitor and follow up on open action items, corrective actions, and site commitments to ensure timely closure.

Data Analysis & Reporting

Collect, compile, and analyze operational data