Undergrad Co-op – Operations Transformation – Remote (Summer 2026)

Job Description

Undergrad Co-op – Operations Transformation – Remote (Summer 2026) | Amgen

The Tone:
This is a co-op assignment at Amgen, located remotely. Amgen is a biotech pioneer dedicated to serving patients with serious illnesses across Oncology, Inflammation, General Medicine, and Rare Disease. This role contributes to Amgen’s mission by helping to transform operations through continuous improvement and artificial intelligence, ultimately making a lasting impact on patients’ lives.

The TL;DR
• Role: Internship
• Location: Remote
• Pay: $24.70–$28.30 hourly
• Team: Operations Transformation and Digital Strategy (OTDS) improves business performance across Amgen Operations.
• Mission: This person supports the execution and value validation of an Operations transformation pilot, focusing on translating strategic intent into clear ways of working that deliver measurable business outcomes.
• Tech Stack: Power BI, Tableau, SQL, Excel advanced analytics

What You’ll Actually Do
• Identify baseline metrics and targets for new pilot opportunities.
• Translate business needs into solutions that streamline processes, improve decision-making, and deliver strong data analytics.
• Analyze diverse financial and operational datasets to uncover insights and connect improvements to business impact.
• Assist in iterating solutions based on end-user feedback to ensure practicality and adoption.
• Communicate complex technical analysis into leadership-ready insights and provide recommendations to key stakeholders.

The Must-Haves
• Background: Currently pursuing a full-time Bachelor’s Degree from an accredited college or university, with a minimum 3.0 GPA or equivalent. Must have completed one year of study and be enrolled for the semester following the co-op.
• Experience: Must be 18 years or older at the time of the internship start and not be employed by Amgen.
• Skills: Ability to translate strategic intent into measurable business outcomes, apply Continuous Improvement (CI 2.0) methodologies, conduct data exploration and analysis, and effectively communicate technical concepts.
• Bonus: Degree concentration in Finance or Data Science. Experience with AI/basic ML concepts like prototyping, prompt engineering, and workflow automation. Familiarity with data tools such as Power BI, Tableau, SQL, and advanced Excel analytics.