Co-Op, Automation, Digital Manufacturing & Controls

This is a winter / spring co-op opportunity in Norwood, MA from January 18, 2027 – June 25, 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. This role will provide hands-on exposure to how manufacturing data is generated, managed, integrated, and used within a regulated GMP environment. This position is site-based, requiring you to be at Moderna's site full-time and is not eligible for remote work.

Responsibilities

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; 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

Requirements

Current student enrolled in a Bachelors or Masters program in Engineering, Computer Science, Data Science, Information Technology, Biotechnology, or a related technical field; Basic understanding of one or more relevant technical areas such as programming, databases, APIs, automation, controls, version control, or information systems, gained through coursework, projects, or previous experience; Experience analyzing data using at least one tool such as Python, Power BI, Tableau, Grafana, or similar; Ability to analyze and troubleshoot problems in a methodical manner; Interest in learning about GMP manufacturing and computerized systems; Demonstrated ability to work both independently and the ability to contribute to cross-functional teams; Curiosity about process automation development; Excellent written and verbal communication skills; Must already hold work authorization in the US and be able to maintain that status without future sponsorship

Nice to have

GPA of 3.5 on a 4 scale or equivalent; Familiarity with regulated manufacturing concepts such as data integrity, traceability, validation, ISA-95, or change management; Demonstrated hands-on technical experience through coursework, personal projects, research, internships, open-source contributions, or an optional code/project portfolio (e.g., GitHub); Prior experience in a GMP environment; Exposure to Manufacturing Execution Systems, Process Control Systems, Data Historian Systems, SCADA, SQL, ERP, PCS and PLC-based automation systems; Experience completing technical projects involving system integration, automation, or software development; A desire to make an impact as part of a high-growth, transformational company that is Bold, Relentless, Curious, and Collaborative

Benefits

Free premium access to meditation and mindfulness classes; Subsidized commuter benefits; Generous paid time off, including vacation, sick time, holidays, volunteer days, and a discretionary year-end shutdown; Location-specific perks and extras; Possible eligibility for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance