2026 Co-Op, Drug Product Automation & Manufacturing Data

The Role:

We are seeking a highly motivated Co-Op / Intern to support Global Drug Product Automation initiatives focused on manufacturing data standardization, PackML data modeling, and OEE (Overall Equipment Effectiveness) analytics.

This role combines aspects from automation/controls engineering, manufacturing operations, and software/data engineering. The co-op will work on the integration of multiple, complex control systems, including Moderna’s existing Wonderware Drug Product SCADA system and various vendor-supplied production manufacturing fill-finish equipment (e.g., Syringe/Vial Fillers, Automatic Visual Inspection, Packaging, Room Monitoring and Warehouse) to contextualize industry-standard Organization for Machine Automation and Control (OMAC) PackML data structure and prototype reusable Overall Equipment Effectiveness (OEE) templates for manufacturing teams.

This is a hands-on learning opportunity to understand Industry 4.0 concepts and how industrial automation data is transformed into meaningful manufacturing insights used by high-level systems such as SIMCA and a Unified Namespace (UNS).

Why This Role Matters:

This co-op will directly contribute to standardizing how manufacturing data is structured and consumed, enabling more consistent OEE reporting and better decision-making across drug product operations. The work will influence how automation data is shared with manufacturing teams and higher-level digital platforms.

What Success Looks Like:

By the end of the co-op, you will have: - A clear understanding of PackML implementation across multiple vendor skids - Documented findings on data consistency and gaps - One or more prototype OEE dashboards/templates - Recommendations on improving PackML data usability for manufacturing

Here's What You’ll Do

Manufacturing Data & PackML

• Review and understand control system architecture of vendor manufacturing equipment

• Review and understand PackML data models to be implemented across multiple vendor manufacturing equipment

• Analyze PackML tag structures, state models, and data quality across platforms

• Learn and evaluate the purpose and value of Rockwell PackML library objects and their role in standardized data exchange

• Support understanding of a dedicated PLC used for vendor and drug product automation contextual data

OEE & Analytics Prototyping

• Gather and normalize PackML-based production data from SCADA systems

• Assist in defining OEE metrics (Availability, Performance, Quality) based on standardized data

• Prototype OEE dashboards or templates that can be reused across manufacturing lines

• Collaborate with manufacturing and automation engineers to validate assumptions and interpretations of data

Systems & Integration Exposure

• Gain exposure to AVEVA Wonderware SCADA and how it interfaces with vendor equipment

• Support data exchange to higher-level systems such as SIMCA and Unified Namespace (UNS) architectures

• Document findings, assumptions, and data models in a way that manufacturing teams can consume

What You’ll Learn

• How PackML is used in real-world pharmaceutical fill-finish automation

• How raw PLC and SCADA data becomes manufacturing KPIs

• How automation, process understanding, and data engineering intersect

• How regulated manufacturing environments balance standardization and vendor diversity

Here’s What You’ll Need (Basic Qualifications) 

• Currently pursuing a Bachelor’s or Master’s degree in:

  • Engineering (Chemical, Mechanical, Electrical, Automation, Industrial, or similar) preferred

  • Computer Science, Software Engineering, or Data Engineering

• Comfortable working with structured data and learning industrial systems

• Strong analytical mindset with attention to detail

• Able to communicate technical concepts clearly to both engineers and non-engineers

• Curious, self-driven, and willing to ask questions

• 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 Qualifications)

• Coursework or experience related to:

  • Manufacturing systems, automation, or industrial controls

  • Data analytics or systems integration

• Interest in understanding manufacturing processes, not just software

• Familiarity with industrial or time-series data concepts

Helpful Technical Exposure (Not All Required)

Data & Integration

• PackML concepts and state models

• MQTT or event-driven data architectures

• Unified Namespace (UNS) concepts

• Time-series data structures

Languages & Formats

• Python (data analysis, scripting)

• SQL (basic querying)

• YAML / JSON (configuration and data modeling)

• Basic understanding of REST APIs

Visualization & Prototyping

• Power BI, Tableau, or similar dashboarding tools

• Jupyter notebooks or equivalent analysis tools

Industrial Context

• PLC concepts (Rockwell, Siemens, B&R exposure is a plus)

• SCADA or HMI systems (Wonderware, Ignition, etc.)

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 designed to support you during your time with us —at work, at home, and everywhere in between.

• 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

The salary range for this role is $20.00 - $60.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An individual’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, performance, and business or organizational needs. The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

The successful candidate may be eligible for an annual discretionary bonus, other incentive compensation, or equity award, subject to company plan eligibility criteria and individual performance.

About Moderna

Since our founding in 2010, we have aspired to build the leading mRNA technology platform, the infrastructure to reimagine how medicines are created and delivered, and a world-class team. We believe in giving our people a platform to change medicine and an opportunity to change the world.  

By living our mission, values, and mindsets every day, our people are the driving force behind our scientific progress and our culture. Together, we are creating a culture of belonging and building an organization that cares deeply for our patients, our employees, the environment, and our communities. 

We are proud to have been recognized as a Science Magazine Top Biopharma Employer, a Fast Company Best Workplace for Innovators, and a Great Place to Work in the U.S. 

If you want to make a difference and join a team that is changing the future of medicine, we invite you to visit modernatx.com/careers to learn more about our current opportunities. 

Our Working Model 

As we build our company, we have always believed an in-person culture is critical to our success. Moderna champions the significant benefits of in-office collaboration by embracing a 70/30 work model. This 70% in-office structure helps to foster a culture rich in innovation, teamwork, and direct mentorship. Join us in shaping a world where every interaction is an opportunity to learn, contribute, and make a meaningful impact. 

Moderna is a smoke-free, alcohol-free, and drug-free work environment. 

Equal Opportunities

Moderna is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.  Moderna is a place where everyone can grow. If you meet the Basic Qualifications for the role and you would be excited to contribute to our mission every day, please apply!

Moderna is an E-Verify Employer in the United States. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. 

Accommodations

We’re focused on attracting, retaining, developing, and advancing our employees. By cultivating a workplace that values diverse experiences, backgrounds, and ideas, we create an environment where every employee can contribute their best. 

Moderna is committed to offering reasonable accommodations to qualified job applicants with disabilities. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should contact the Accommodations team at leavesandaccommodations@modernatx.com. 

Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant’s ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license.