Engineering Grad Intern — Remote Operations & Projects

Initial Therapeutics, Inc.

Thousand Oaks (CA)

On-site

USD 74,000 - 86,000

Full time

14 days+
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Job summary

Amgen is offering a 13-week graduate internship in Operations-Engineering, remotely or onsite at select U.S. locations.

You will support engineering projects, develop digital tools, and learn from leaders in capital-project delivery and technology. Ideal candidates are graduate students in engineering, data, or related fields, with strong analytical and communication skills and an interest in AI, automation, and continuous improvement.

Qualifications

  • Must be 18 years or older and currently enrolled in an accredited college or university.
  • Bachelor's degree or higher required; MBA/MS/PhD internships considered for program eligibility.
  • Strong written and verbal communication; ability to present technical concepts clearly.

Responsibilities

  • Lead or independently drive a defined project workstream from framing to recommendations.
  • Collaborate with design teams and subject-matter experts on engineering project development and documentation.
  • Analyze feasibility, costs, risks, and benefits to inform project decisions and business cases.
  • Develop and improve digital, data, or AI-enabled tools and dashboards to enhance workflows.
  • Prepare and present updates and findings to engineering leaders and stakeholders.

Skills

Communication
Written and verbal
Problem solving
Team collaboration
Project management
Independent work
Engineering analytics
AI, automation & data tools

Education

Bachelor's degree
MBA/MS/PhD program enrollment

Tools

Python
SQL
Power BI/Tableau
Data visualization
Automation tools
Generative AI tools

Job description

Amgen is offering a 13-week graduate internship in Operations-Engineering, remotely or onsite at select U.S. locations.

You will support engineering projects, develop digital tools, and learn from leaders in capital-project delivery and technology. Ideal candidates are graduate students in engineering, data, or related fields, with strong analytical and communication skills and an interest in AI, automation, and continuous improvement.

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