Roche Diagnostics in Rotkreuz (ZG), the world leader in in‑vitro diagnostics, is looking for a motivated individual with experience in electro-chemical sensors or sensor manufacturing
MSAT Product and Process Science Engineer (a)
The Manufacturing Science & Technology Team (MSAT) is working in an agile Framework. We are shaping and continuously improving the manufacturing of highly integrated sensors and cartridges (S&C). Our service scope starts with input to first concept ideas, continues through a fast and effective design transfer from development into routine manufacturing and finally ensures a robust and sustainable product care phase over the entire lifecycle.
- Taking responsibility for regular product care activities within the Squad. Like handling of non-conformity notifications, leading investigations and root cause analysis, coordinating corrective actions in the manufacturing process, implementing changes to the process
- Working according to internal processes defined by GxP-regulated environment
- Monitoring production data and analyzing key production performance indicators
- Driving Continuous Improvement initiations within the sensor production process
- Supporting production operators as an SME on the ramp up of newly established production line
- Plan and execute experiments (DoEs) in laboratory and production environment for investigation and product improvements
- Coordination and collaboration with internal and external partners
- University Degree in (Electro-, Analytical- or Technical) Chemistry, (Chemical-, Process- or Manufacturing) Engineering or related field
- First experience in a highly regulated production environment
- First experience GxP
- Adaptive and autonomous team player with the ability for self-reflection
- Open and solution-oriented mindset that actively fosters collaboration
- Interest in agile methodologies and project management techniques
- Thinking strategically and setting concrete objectives with an entrepreneurial mindset
- Experience with statistical analysis / data science
- Ability to apply a programming language (e.g., python or R-Studio) in a practical setting
- Fluent in English, German at least B2 level
- Knowledge of Six sigma and/or lean methodology is an advantage
- Knowledge of chemical lab processes or manufacturing (screen printing, dispensing) processes is an advantage
- Database handling (SQL, Snowflake) and experience with software projects is an advantage