CSV Smart Technology Trainee

Support the technical assessment and validation of innovative and AI/ML-enabled systems. Contribute to risk-based assessments by analysing system functions, data flows, model behaviour, failure modes, and potential impacts on data integrity, product quality, or process reliability. Support the preparation and review of validation deliverables such as requirements, risk assessments, test protocols, test evidence, traceability records, and summary reports. Develop small scripts, data-analysis workflows, or automated checks to support efficient and reproducible validation activities, with appropriate version control and documentation. Collaborate with CSV, Quality, Engineering, IT/OT, R&D;, system owners, data scientists, and suppliers to understand systems and translate technical information into clear validation evidence. Build working knowledge of GxP computerized system validation, data integrity, and evolving expectations for AI/ML-enabled systems through guided project work, training, and knowledge-sharing activities. Contribute to continuous improvement initiatives and knowledge-sharing activities within the CSV team. Complete assigned training, mentoring activities, and development objectives throughout the trainee program.

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.

• Degree (Bachelor, Master, PhD) in Computer Science, Data Science, Bioinformatics, Engineering, or a related field.

• Understanding of AI/ML concepts and data analytics.

• Programming experience in Python; scripting and automation experience is a plus.

• Strong analytical and problem-solving skills with a data-driven mindset.

• Effective communication and collaboration skills across technical and business teams.

• Interest in GxP, CSV, data integrity, and regulated environments.

• Curious, proactive, and eager to learn in a fast-evolving digital environment.

• Willingness to travel globally up to 15%