Global CSV Smart Technology Trainee

Lonza; Oberwallis; Hybrid; Vertraulich; Vollzeit

Benefits dieser Stelle

Agile culture

Inclusive workplace

Competitive compensation

Zusammenfassung

Lonza Visp in Switzerland is seeking a Global CSV Smart Technology Trainee for a 2-year fixed term contract. The role focuses on validating AI/ML-enabled systems and contributing to risk assessments and validation deliverables on a hybrid on-site/off-site basis.

You will develop scripts and data-analysis workflows, collaborate with CSV, Quality, IT/OT, Engineering and Data Scientists, and gain hands-on experience in GxP validation and digital transformation within a medicines manufacturing

Qualifikationen

• Degree (Bachelor, Master, or PhD) in Computer Science, Data Science, Engineering, or a related field.
• Understanding of AI/ML concepts and data analytics.
• Programming experience in Python; scripting and automation experience is a plus.

Aufgaben

• Support the technical assessment and validation of 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 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 validated systems, 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 within the CSV team.
• Complete assigned training, mentoring activities, and development objectives throughout the trainee program.

Kenntnisse

AI/ML concepts

Data analytics

Communication

Team collaboration

Willingness to travel

Ausbildung

Bachelor/Master/PhD in Computer Science or related

Tools

Python programming

Jobbeschreibung

Switzerland, Visp

The actual location of this job is in Visp, Switzerland.

We are looking for a Global CSV Smart Technology Traineeto join our Global Computerized System Validation (CSV) team on a 2 years fixed term contract.

In this role you will contribute to ensuring that innovative technologies are scientifically sound, fit for intended use, compliant with regulatory expectations, and aligned with Lonza's digital transformation strategy. Through participation in cross-functional projects, the you will gain hands‑on experience applying engineering, quality, and data science principles to support the safe, reliable, and compliant deployment of next‑generation digital solutions.

This role is primarily based on site. Working together in person supports close, real-time collaboration and the technical precision needed to manufacture medicines to the highest quality and safety standards. We offer flexibility to work remotely for no more than 20% of your time. Requests are considered on a case‑by‑case basis, in line with business needs.

What You Will Get

• An agile career and a dynamic work culture
• An inclusive and ethical workplace
• Compensation programs that recognize high performance

What You Will Do

• 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.

What We Are Looking For

• 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%

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?

Reference: R78566