GSK
Smart Manufacturing Systems Analyst
USA - Pennsylvania - Marietta · Hybrid (Remote & On-site) · Full-time · Posted Oct 5, 2026
- Experience
- 3+ years in regulated manufacturing and at least one year designing Smart Manufacturing or Digital Systems solutions; alternatively, 12+ months of combined co-op, internship, or industry experience in a relevant setting, including hands-on contribution to a digital, data, or automation project.
- Education
- Associate’s degree in Engineering, Computer Science, Information Systems, Industrial/Manufacturing Engineering, Automation or related technical discipline.
About the job
Designs, implements, validates, supports, and continuously improves site Smart Manufacturing systems and digital workflows for regulated manufacturing.
What you'll do
- Translate manufacturing needs into system requirements, workflows, designs, and configured solutions; coordinate with business and technical teams.
- Integrate, test, validate, deploy, and provide lifecycle support for Smart Manufacturing systems, including GMP documentation and user training.
- Use operational data and user feedback to improve systems and create data visualizations that support decision-making.
What they ask for
- Associate’s degree in a related technical discipline.
- Experience either 3+ years in regulated manufacturing and at least 1 year designing Smart Manufacturing or Digital Systems solutions, or 12+ months of combined co-op, internship, or industry experience in a relevant setting including hands-on contribution to a digital, data, or automation project.
- Experience with GMP-regulated digital-system project execution, testing, and validation, plus knowledge of manufacturing operations and GMP production processes.
- Requirements and workflow documentation, controlled technical writing, Microsoft Visio and Excel, and experience with data visualization or analytics tools.
Nice to have
- Bachelor’s or Master’s degree in a related field; experience with Siemens OpCenter Execution Pharma or a comparable Manufacturing Execution System.
- Experience with low-code or other Smart Manufacturing technologies, Python or similar scripting, databases, Agile delivery, or AI-enabled LLM tools.
Tools
Microsoft Visio, Excel, Microsoft 365, Power BI, Power Apps, PI Vision, Spotfire, Siemens OpCenter Execution Pharma
AI focus
Champion an AI-first and digital mindset; preferred experience using AI-enabled LLM tools to improve productivity, quality, knowledge management, and ways of working.
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