2026 Co-Op, Drug Product Automation, Visual Inspection
ModernaRemotePosted 7 April 2026
Job Description
The Role
We are seeking a highly motivated Automation Engineering Co-Op / Intern to support Global Drug Product Automation initiatives focused on Visual Inspection (VI) systems, automated and semi-automated inspection equipment, and manufacturing system integration.
This role sits at the intersection of automation engineering, machine vision, manufacturing operations, and data/system integration. The co-op will support the Automated Visual Inspection (AVI) platforms (including Switch 350 and De.Sy.Re systems), assisting with equipment integration, network configuration, SCADA connectivity, and data analysis efforts supporting global Drug Product operations.
This is a hands-on learning opportunity to understand how complex inspection systems are deployed, validated, and integrated into regulated pharmaceutical manufacturing environments.
Here’s What You’ll Do
Visual Inspection Systems
Support automated and semi-automated Koerber AVI systems (Switch 350, De.Sy.Re)
Assist with system configuration, troubleshooting, and operational support
Review and analyze inspection results, defect classifications, and performance trends
Support data reviews related to VI performance across global manufacturing sites
Assist with documentation to support commissioning, qualification, and validation activities
Automation & Systems Integration
Support integration of VI systems into manufacturing networks
Assist with IP configuration, network connectivity, and system communication troubleshooting
Support SCADA integration and data exchange with site automation systems
Assist in aligning vendor systems with internal automation and data standards
Participate in cross-functional discussions with Manufacturing, IT, Quality, and vendors
Data & Analysis
Review and analyze inspection data from global manufacturing sites (including Australia)
Identify trends, data gaps, and opportunities for standardization or improvement
Assist in organizing and presenting data for engineering and operational review
Support efforts to improve data accessibility and usability for manufacturing teams
What You’ll Learn
How automated and semi-automated visual inspection systems operate in pharmaceutical manufacturing
How machine vision systems are integrated into plant automation and IT networks
How inspection data supports product quality, compliance, and operational decision-making
How regulated manufacturing environments manage system integration and validation
How cross-functional teams collaborate to deploy and support complex automation systems
Here's What You’ll Need (Basic Qualification)
Currently pursuing a Bachelor’s or Master’s degree in:
Electrical, Automation, Mechanical, Computer, or Industrial Engineering (preferred)
Computer Science or related technical field
Strong interest in automation, manufacturing systems, or industrial technology
Comfortable working with technical systems and structured data
Strong analytical and problem-solving skills
Able to communicate technical concepts clearly and professionally
Curious, self-driven, and eager to learn in a regulated manufacturing environment
This position is site-based, requiring you to be at Moderna’s site full-time. This position is not eligible for remote work.
At Moderna, we are focused on delivering on our mission by enabling talent to thrive. For this role, we are currently unable to offer immigration sponsorship. Candidates must already hold work authorization in US and be able to maintain that status without the need for future sponsorship.
Here's What You’ll Bring to the Table (Preferred Qualification)
Exposure to manufacturing automation, machine vision, or industrial systems
Interest in pharmaceutical or regulated manufacturing environments
- Experience working on technical projects involving hardware and software integration
Pay & Benefits
At Moderna, we believe that when you feel your best, you can do your best work. That’s why our co-op benefits are design ... (truncated, view full listing at source)
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