Co-Op, Business Operations & Operational Excellence

The Role

This is a full-time co-op opportunity in Norwood, MA from January 18, 2027 - June 25, 2027. Applicants must be available for the entire duration of the assigned co-op term.

The CMC Operations organization is seeking a highly analytical and collaborative co-op to support data-driven strategic operations and operational excellence across manufacturing, supply chain, and product value streams. The successful candidate will work on high-impact projects that establish / improve performance visibility, strengthen operational and resource planning, identify risks and dependencies, and translate analysis into actions and decisions for leadership. Project emphasis will vary by organization: some assignments will center on hands-on continuous improvement using Lean, DMAIC, value-stream mapping, root-cause analysis, and kaizen;

others will focus more heavily on integrated analytics, scenario planning, optimization, predictive insights, and future-state operating models, with selected assignments adding a stronger emphasis on AI-enabled innovation and Generative AI. Across assignments, the co-op will help improve tactical execution, productivity, cost, quality, service, and scalability while contributing to long-term manufacturing and network strategy.

This position is site-based, requiring you to be at Moderna's site full-time. This position is not eligible for remote work.

Here's What You'll Do

• Support strategic initiatives by integrating and analyzing operational performance data and helping align priorities and improvement efforts with Moderna's long-term manufacturing, supply chain, and network strategy.
• Establish performance visibility by developing and refining KPIs, dashboards, automated reports, and decision-support tools that enhance productivity, transparency, and proactive risk management.
• Support operational, resource, workforce, and operating-model planning through scenario analysis and productivity insights; identify risks, dependencies, and constraints and translate findings into clear actions and decisions.
• Develop and refine predictive analytics, optimization models, scenario analyses, and scalable analytical or data products that improve efficiency and scalability across operational workflows.
• Assist in designing and piloting AI-enabled solutions, leveraging advanced analytics, predictive modeling, automation, and Generative AI to improve data-driven decision-making and execution.
• Lead or support operational excellence and continuous-improvement projects using Lean, systems-thinking, value-stream mapping, DMAIC, root-cause analysis, workshops, and kaizens to address bottlenecks, variability, and inefficiencies.
• Define and measure project impact using operational and financial KPIs such as cost savings, lead-time reduction, quality, service levels, productivity, process standardization, and other relevant performance measures.
• Partner cross-functionally with Operations, Manufacturing, Quality, Supply Chain, FEVA, MSAT, Digital, and other stakeholders to gather requirements, synthesize insights, and support transformation initiatives.
• Track initiative milestones, risks, and dependencies, and support change management and deployment of new tools, processes, and ways of working.
• Prepare reports, presentations, and project documentation; communicate findings and recommendations to key stakeholders and work with technical and functional experts to quickly learn new technologies and techniques.

Here's What You'll Bring to the Table (Basic Qualifications)

• Current student enrolled in a Bachelors or Masters program in Industrial Engineering, Supply Chain Management, Operations Management, Chemical Engineering, Biomedical Engineering, Data Science, Computer Science, Applied Mathematics,…