The Role
This is a winter / spring co-op opportunity in Norwood, MA from January 18, 2027 – June 25, 2027. Applicants must be available for the entire duration of the co-op. Start date will be January 18, 2027.
The Automation, Digital Manufacturing & Controls Co-op will support digital, software, data, automation, controls, and manufacturing systems capabilities that enable Moderna’s manufacturing and operational teams. Will support the digital systems and data capabilities that enable Moderna’s manufacturing operations. This role will provide hands-on exposure to how manufacturing data is generated, managed, integrated, and used within a regulated GMP environment.
The co-op will work alongside Manufacturing, Digital, Automation, Quality, and Engineering teams to support initiatives related to manufacturing data, system integrations, reporting, analytics, data quality, and continuous improvement. Projects may include analyzing manufacturing data, improving data visibility, supporting system and process documentation, troubleshooting data issues, developing dashboards or applications, and helping evaluate opportunities to enable manufacturing operations through software, data, automation, and digital technologies.
This role is designed for a student interested in applying software, data, automation, controls, and digital technologies to real-world manufacturing and operational challenges. The successful candidate will have the opportunity to learn about GMP manufacturing systems, regulated data practices, and the digital technologies that support modern biopharmaceutical manufacturing while contributing to meaningful projects used by operational teams.
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
Work closely with experienced automation engineers and developers to quickly learn automation platforms, tools, and best practices.
Assist in developing, configuring, integrating, and testing digital, automation, controls, and manufacturing systems such as PCS, MES, data platforms, and PLC-based systems.
Develop, test, and deploy software applications, data products, APIs, integrations, or automation solutions that address real manufacturing and operational needs.
Apply appropriate software and engineering practices such as version control, code review, testing, debugging, modular development, and technical documentation to produce reliable and maintainable solutions.
Build or update dashboards, reports, analytical tools, or data products using platforms such as Power BI, Tableau, Grafana, or other relevant technologies.
Support troubleshooting data flow issues between manufacturing systems, databases, and reporting tools.
Assist with testing changes to manufacturing data systems (PCS, MES, DH, PLC, etc), reports, or integrations before deployment.
Document system configurations, data flows, business processes, troubleshooting steps, and standard work.
Work with Manufacturing, Automation, Quality, and Digital teams to understand business, operational, and technical needs and translate them into technical requirements.
Support investigations by gathering system data, logs, timestamps, or other technical information.
Participate in project meetings, daily team discussions, and technical reviews.
Assist with user acceptance testing, regression testing, or validation-related activities for GMP computerized systems.
Review data trends and summarize findings for engineers, manufacturing teams, or project leads.
Learn the underlying manufacturing process so they can understand the context behind the data they are working with.
Support GMP documentation, testing, and validation activities.
Follow and apply industry and GMP standards in pharmaceutical manufacturing environments.
Here’s What You’ll Bring to the Table (Basic Qualifications)
Current student enrolled in a Bachelors or Masters program in Engineering, Computer Science, Data Science,…