2027 Spring Co-op Opportunities, Swiftwater, PA

Sanofi•Pocono Township, PA

9d•$32 - $35•Onsite

About The Position

This co-op opportunity will have a 6 month duration starting January 2027. At Sanofi, you'll be empowered to learn, ask questions, and bring your ideas to life – all while supported by inspiring mentors and collaborative teams. Sanofi is an R&D-driven, AI-powered biopharma company committed to improving people's lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people's lives.

Requirements

Currently enrolled at an accredited college or university pursuing a degree in: Bachelor's in Architectural Engineering, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Environmental Health & Safety, Safety Sciences, Safety Management, Industrial Hygiene, or related engineering fields. or Master's in Architectural Engineering, Mechanical Engineering, Electrical Engineering, Chemical Engineering, Environmental Health & Safety, Safety Sciences, Safety Management, Industrial Hygiene, or related engineering fields.
Must be permanently authorized to work in the U.S. and not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the Internal requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.
Must be enrolled in an accredited college or university throughout the duration of the co-op/internship.
Must be able to relocate to the office location and work 40hrs/week, Monday to Friday for the full duration of the co-op/internship.

Responsibilities

Protect employees and communities while ensuring pharmaceutical operations are environmentally sustainable.
Use data analytics and engineering principles to maximize equipment uptime and manufacturing efficiency validation.