Internship (12 months) - Data Analytics & Performance Tracking 80-100% (m/w/d)

Switzerland, Visp

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Join our QC 24/7 Analytical Services team – the central hub for time-critical analytical support in biologics production at the Lonza Visp site. Our team operates around the clock and is the first point of contact for all analytical samples from production. We ensure accuracy, compliance, and timely delivery across a broad range of analytical technologies.

To further strengthen our data-driven performance management, we are looking for a motivated intern with a strong background in informatics, bioinformatics or statistics to support our team for 12 months.

What Makes This Internship Exciting?

This internship offers a unique opportunity to work at the intersection of data science, quality control, and GMP-regulated pharmaceutical manufacturing. You will help transform complex operational data into meaningful insights that directly support decision-making, performance tracking, and continuous improvement.

You will work closely with Deviation and Investigation Managers, gain hands-on exposure to real GMP processes, and collaborate with multiple stakeholders across QC, IT, and Operations.

What You Will Get

• A 12-month internship with real responsibility and impact.
• Hands-on experience in a GMP-regulated, high-performance QC environment.
• Close collaboration with experienced QC, quality, and data professionals.
• Exposure to advanced analytics, operational KPIs, and quality investigations.
• A strong learning opportunity for a future career in pharma, data analytics, or quality.
  
  

What You Will Do

• Collect, prepare, and analyze performance data for QC 24/7 Analytical Services.
• Work with various Lonza systems to enable automated data extraction where possible.
• Develop and maintain KPI dashboards to monitor: Time-critical analysis performance, Right-First-Time (RFT) performance and Tests per FTE and capacity utilization
• Build clear and intuitive data visualizations for operational and management use.
• Support root cause analysis and investigations through structured data analysis.
• Collaborate closely with Deviation & Investigation Managers to translate data into actionable insights.
• Document data flows, assumptions, and methods in a structured and GMP-aware manner.
  
  

What We Are Looking For

• Currently enrolled in or recently completed a Bachelor’s or Master’s degree in Informatics, Bioinformatics, Data Science, or a related field.
• Solid Experience with Power BI is a plus.
• Experience with data visualization (Power BI, Python, or R).
• Solid understanding of statistics and data analysis principles.
• Interest in the pharmaceutical industry, GMP processes, and regulated environments.
• Structured, analytical, and proactive working style.
• Very good English skills; German is a plus.
  
  

About Lonza

At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.

Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we value diversity and are committed to creating an inclusive environment for all employees. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.

Ready to shape the future of life sciences? Apply now.

Reference: R73252

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