/ L'annuaire des offres d'emploi en Suisse Romande
n/a n/a Visp CH
full-time

MSAT Data Manager (f/m/d) - 80% -100%

Entreprise
Lonza Group
Lieu
Visp
Date de publication
20.05.2026
Référence
5241362

Description

The actual location of this job is in Visp, Switzerland. Relocation assistance is available for eligible candidates and their families, if needed. As our operations continue to expand, we are looking for motivated MSAT Data Managers (m/f/d) to strengthen our Biologics organization and support our customer across multiple projects-including a dedicated manufacturing plant for a conjugated vaccine. In this role, you will be at the center of data-driven decision-making, ensuring accurate data extraction, transformation, and reporting to enable technical excellence, regulatory compliance, and operational efficiency. You will also play a key role in safeguarding data integrity, evaluating process performance, and driving continuous improvement initiatives across our manufacturing operations. Your work will directly contribute to robust processes and successful product delivery. If you are passionate about data, enjoy working in a dynamic, fast-growing environment, and want to make a tangible impact in biologics manufacturing, this is your opportunity. Apply now and be part of our success story in Visp. This is a fully site-based role. Working together in person supports close, real-time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards. What you will get: An agile career and a dynamic work culture An inclusive and ethical workplace Compensation programs that recognize high performance The full list of our global benefits can be found here: https://www.lonza.com/careers/benefits What you will do: 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 What we are looking for: 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 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.

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