Manufacturing Operations Graduate Program

Job Description

Manufacturing Operations Graduate Program, Marietta, US, 2027 | GSK

The Tone:
This is a full-time role within the Manufacturing Operations Graduate Program at GSK, located in Marietta, US. GSK is a global biopharma company committed to uniting science, technology, and talent to get ahead of disease together. The company aims to positively impact the health of 2.5 billion people by the end of the decade, preventing and treating disease with innovations in specialty medicines and vaccines. This program is vital for bringing high-quality medicines and vaccines to patients as quickly, efficiently, and effectively as possible, directly contributing to improving global health outcomes.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: In-person Marietta, PA
• Team: Manufacturing Operations within Global Supply Chain
• Mission: Deliver reliable, high-quality medicines and vaccines to patients globally and drive innovation in pharmaceutical manufacturing.
• Tech Stack: Robotics, Digital Solutions, Artificial Intelligence (AI), Digital Data & Analytics (DDA), DMAIC, Lean Six Sigma, Data-driven Approaches, Visualization Techniques

What You’ll Actually Do
• Production Exposure: Gain hands-on exposure to production processes, manufacturing systems, and equipment performance within pharmaceutical manufacturing.
• Process Improvement: Apply advanced problem-solving methodologies like DMAIC and Lean Six Sigma to enhance the efficiency of manufacturing equipment and processes.
• Data-Driven Decisions: Utilize data-driven approaches and visualization techniques to improve decision-making and operational efficiencies within manufacturing.
• Sustainability Contribution: Contribute to GSK’s Net Carbon Zero mission by working on impactful projects that promote environmental sustainability in operations.
• Cross-Functional Collaboration: Collaborate cross-functionally across manufacturing, quality, technical services, and supply chain to understand product delivery.

The Must-Haves
• Background: Bachelor or Master of Science degree in Engineering (Biomedical, Pharmaceutical, Chemical), Biologics & Process Technology, Chemical & Pharmaceutical Technology, Pharmaceutical Science, Microbiology, Biochemistry, Biotechnology, or Computer Science with a focus on AI, Data Management, or Digital Technologies.
• Experience: No significant previous professional work experience in the area of application. Graduation date by August 2027.
• Skills: Technical expertise in data management and analytical technologies, a continuous improvement mindset with the ability to simplify complex processes and apply innovative thinking, strong communication and collaboration abilities, demonstrated ownership of tasks, attention to detail, application of structured problem-solving methods, and adaptability to changing priorities.