MSAT Data Manager

Extract, structure, and curate manufacturing and batch record data (paper and electronic) to support data-driven decisions. Prepare and analyze process data for investigations, deviations, CAPAs, and continuous improvement initiatives. Develop and maintain dashboards, trackers, and reporting tools (Excel, Power BI) for process monitoring. Support Continuous Process Verification (CPV) and generate control charts and product quality reports. Perform statistical analysis (e.g., trending, capability studies) to evaluate process performance and identify improvement opportunities. Collaborate cross-functionally with MSAT, QA, Operations, and Automation to ensure data accuracy and availability. Contribute to SOPs, technical reports, and regulatory documentation while ensuring GMP/GDP compliance.

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.

• Bachelor’s or Master’s degree in Life Sciences, Biotechnology, Data Science, Engineering, or related field

• Initial experience (1–3 years) in biopharma manufacturing, data analytics, or a regulated environment

• Strong data handling and analysis skills, including advanced Excel capabilities; Power BI or VBA is a plus

• Knowledge of statistical methods and tools (e.g., Minitab, JMP, Python, R, SeeQ, or similar)

• Experience working with manufacturing data sources such as batch records, DeltaV, or electronic systems is advantageous

• Strong organizational and collaboration skills with the ability to manage multiple priorities

• Excellent communication skills in English; German is a plus