Information Technology Co-op

at  Thermo Fisher Scientific

JOB DESCRIPTION

When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals. Our staff members are committed to making a difference in our organization, for our client partners and the patients we serve. We seek individuals with proven competencies and strong character to help lead our organization now and into the future.
Our co-op participants receive professional mentorship and leadership development opportunities to support future career growth with us. Whether you’re looking to come back for a repeat co-op, transition into one of our Leadership Development Programs, or pursue a full-time position post-graduation, our team is here to support your next step!
How will you make an impact?
Students will be matched to projects based on their abilities and current business needs. All projects will have significant strategic and/or operating importance to the business to which they are assigned.

Projects may include the following responsibilities:

• Partner with leadership to identify and address areas to improve efficiency and benchmark with industry best practices.
• Become a process owner; critically review specific processes with great attention to detail and proactively recommend opportunities for improvement.
• Develop tools and models to improve tracking and efficiency.
• Learn continuous improvement methodologies (i.e., PPI, Six Sigma, and others) and help promote improvement initiatives.
• Work collaboratively across the IT function to achieve business objectives related to: Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, Global Infrastructure, Corporate Strategy & Integrations, E-Business, Digital Transformations, and Data Science.

Compensation & Relocation: Our undergraduate Information Technology co-ops offer an hourly rate between $21.50 - $28.75 dependent upon the location you are supporting (aligned to respective cost-of-living guidelines). Additionally, a relocation stipend is offered in the amount of $5,000 if necessary. Student must be located 50+ miles away from the physical location of co-op to be eligible for the relocation stipend.

How will you get here?

• Undergraduate student completing an Information Technology-related degree between December 2025 and June 2026.
• 0 years of work experience required; previous related internships preferred.
• Consistent track record of results demonstrating integrity, innovation, involvement, and intensity.
• Energized through championing change, driven in getting results, and savvy in navigating ambiguity.
• Excellent interpersonal communication skills with a high degree of emotional intelligence.

If this sounds like you, we’d love to hear from you!
To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.

• Partner with leadership to identify and address areas to improve efficiency and benchmark with industry best practices.
• Become a process owner; critically review specific processes with great attention to detail and proactively recommend opportunities for improvement.
• Develop tools and models to improve tracking and efficiency.
• Learn continuous improvement methodologies (i.e., PPI, Six Sigma, and others) and help promote improvement initiatives.
• Work collaboratively across the IT function to achieve business objectives related to: Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, Global Infrastructure, Corporate Strategy & Integrations, E-Business, Digital Transformations, and Data Science