Co-Op, Automation, Digital Manufacturing & Controls

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, 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.

Here’s What You’ll Bring to the Table (Preferred Qualifications)

• 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.