Intern, Digital transformation 100%
View: 187
Update day: 25-04-2024
Location: Basel Basel-Stadt BS
Category: Design - Web Arts / Design Architecture / Interior Design IT - Software Internship / Entry level
Industry: IT Services IT Consulting Biotechnology Research Pharmaceutical Manufacturing
Position: Internship
Job type: Internship
Job content
Switzerland, BaselIntern, Digital transformation 100%
Today, Lonza is a global leader in life sciences operating across three 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.
A successful candidate in this role will be instrumental in helping to drive forward the Digital transformation across all Lonza sites and Business Units by facilitating and enabling the use of advanced analytical tools. This role will develop data analytics, technology, and visualization solutions to further drive the Lonza manufacturing facilities towards Industry 4.0. The two main key learning objectives are the working experience with data systems used in GxP manufacturing plants and their application to enable process optimization
Duration: 6 to 12 months
Location: Basel
Key Responsibilities
- Supporting the global implementation of Simca as a GxP online MVA platform;
- Supporting MVA projects across all Lonza sites in different business units;
- Application of statistical tools to support process investigations;
- Development of models based on Raman spectroscopy data
- Developing a script to automate dataflow from different data systems
- Bachelor or Master in one of the following or related areas: Technology, Science, IT, Mathematics, Health Science & Technology, Data Science, Data analytics, Computer Analytics
- This internship can be depending on individuals needs 6-12 month’s
- Ability to learn quickly and independently
- Experience with relevant programming languages (such as Python, MATLAB, R, Visual Basic, JMP) is a plus
- Experience with application of statistical data analytics, multivariate analysis and chemometric modeling is a plus
People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Reference: R40284
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