2026 Co-Op, Supply Chain, Global Materials Planning
About The Position
The Global Material Planning Team at Moderna is seeking a highly analytical and automation-driven Co-Op to help modernize how we plan materials across our global network. As a Material Planning & AI Co-Op, you will work at the intersection of supply chain, data, and automation. You will support the transformation of our planning processes by developing automated tools, AI-enabled workflows, and scalable data solutions that improve decision-making, visibility, and efficiency across the material planning function. This is an opportunity to gain hands-on experience applying AI and automation within a global biotech supply chain environment. This position will run from July 13th-December 11th, 2026.
Requirements
- Current student enrolled in a Bachelors or Masters program in Supply Chain, Engineering, Data Science, Computer Science, Economics/Finance, or related field.
- Foundational understanding of supply chain processes (demand planning, S&OP, MRP, inventory management, procurement, etc.).
- Strong analytical skills with experience working with structured data.
- Proficiency in Microsoft Excel; familiarity with data visualization tools.
- Candidates must already hold work authorization in US and be able to maintain that status without the need for future sponsorship.
- This position is site-based, requiring you to be at Moderna’s site full-time.
- This position is not eligible for remote work.
Nice To Haves
- Experience with Python, Power Automate, SQL, Co Pilot or other automation tools
- Familiarity with SAP, IBP, MRP logic, or ERP systems.
- Exposure to AI tools (LLMs, prompt engineering, GPT development, or workflow automation).
- Experience building dashboards, data models, or automated reports.
- Demonstrated curiosity about applying AI to real-world business problems.
- Strong problem-solving mindset and comfort working with ambiguity.
- Ability to translate data into clear insights and recommendations.
- Collaborative mindset and strong communication skills.
- Ability to learn quickly on the job and work under deadlines with minimal oversight.
Responsibilities
- Design and implement automated solutions to improve material planning processes, reducing manual work and increasing decision speed.
- Develop and deploy GPT-based tools and AI agents to support planners in areas such as safety stock refresh analysis, lead time validation, inventory risk identification, and KPI commentary generation.
- Build and automate weekly and monthly planning KPIs using tools such as Excel, Tableau, Power BI, Python, Chat GPT or SAP data extracts.
- Support development of scalable methodologies for maintaining planning master data
- Analyze large datasets to identify trends, inefficiencies, and improvement opportunities.
- Partner cross-functionally with Procurement, Finance, and Site Planning to translate business needs into digital solutions.
- Contribute to continuous improvement initiatives using Lean and digital-first thinking.
- Lead a defined automation or AI pilot project from concept to implementation.
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
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What This Job Offers
Job Type
Full-time
Career Level
Intern
