Co-Op, Supply Chain, Global Materials Planning
Listed on 2026-03-01
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst
The Role
The Global Material Planning Team at Moderna is seeking a highly analytical and automation-driven Co‑Op to 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 to 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 position will run from July 13th‑December 11th, 2026.
- 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.
- Current student enrolled in a Bachelor’s or Master’s 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.
- 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 the U.S. 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.
What You’ll Bring to the Table (Preferred Qualifications)
- 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.
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…
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