Manufacturing Process Analyst / Engineer: GxP / MSAT / Complex automated production / Sensors & Cartridges / Robotics / Python or R / robust process documentation / English / Deutsch Background: Manufacturing Science & Technology (MSAT) is the global enabling function of the Sensors & Cartridges (S&C) network. Based in Rotkreuz, our team supports the entire product lifecycle, from early concept and design transfer into routine manufacturing to sustainable product care for blood gas, electrolytes, and sequencing products. Working within an agile, cross-functional framework (Squads & Chapters), we combine domain expertise, data-driven insights, and digital technologies to tackle complex challenges. We foster continuous learning and systems thinking, guided by our core values: Courage, Transparency, Open- Mindedness, and a Can-Do Attitude.
The Perfect Candidate is an approachable, data-minded engineer with 3 to 5 years of practical experience on the production floor who can comfortably read and interpret data in Python or R without needing to be a software developer. They spend at least three days a week directly on the shop floor, speaking German (B2+) with operators to understand practical machine hiccups, and then switch to English to collaborate with cross-functional squads. Rather than acting like a rigid, deskbound auditor, they bring a pragmatic problem-solving attitude to GxP deviation handling, using root-cause analysis and data loops to identify production risks early and balance strict quality standards with production throughput.
Tasks & Responsibilities: • Identify & Solve Gaps: Analyze production processes to uncover limitations, root causes, and risks in process robustness, control strategy, and equipment • Drive Improvements: Develop and implement actionable solutions-ranging from digital tools and new technologies to equipment upgrades and workflow enhancements • Control Strategies & Data: Monitor production KPIs, detect early deviations using control loops, and implement impactful in-process quality controls • Testing & Ramp-up: Plan and execute Design of Experiments (DoE) across lab and manufacturing environments, supporting the scale-up of new production lines Shop-Floor Collaboration: Partner closely with shop-floor teams, technicians, and cross-functional stakeholders to align practical reality with engineering solutions • Compliance & Documentation: Create and maintain robust process documentation, change records, and work instructions in line with GxP standards
Must Haves: • You bring educational background in Engineering (Mechanical, Mechatronics, Automation, Electrical, Micro/Precision Engineering), Physics, Materials Science, or equivalent practical experience • You bring technical experience and a practical background in complex automated production, robotics, high-precision assembly, dispensing, joining technologies, or delicate component handling • You bring industry experience across various sectors ( , medical devices,semiconductors, precision mechanics, automotive, watchmaking, or machinery); experience in regulated environments is a plus • You bring a shop-floor and GxP mindset: pragmatic and approachable on the production floor, with a clear commitment to structured technical documentation within a GxP environment (training provided) • You bring data and digital skills, including practical ability in at least one programming language ( , Python, R) or working with modern digital tools/AI workflows • You bring strong interpersonal and collaboration skills, with an open-minded approach to engage seamlessly with shop-floor technicians, ask probing questions, and clearly convey analytical insights to cross-functional lead engineers • You bring an agile mindset, with experience or enthusiasm for agile frameworks (Scrum, Kanban, PI planning) and cross-functional collaboration. • You bring professional fluency in English and German at B2 level or higher. • Hepatitis vaccination required for laboratory and clean production access.
Nice to Haves: • Familiarity with continuous improvement / Lean Six Sigma methods (SIPOC, value stream mapping, root-cause toolkits). • Experience in advanced statistical analysis, database queries (SQL, Snowflake), or digital manufacturing projects.
Reference Nr.: 925393 Rolle: Manufacturing Process Analyst / Engineer Industrie: Pharma Location: Rotkreuz Pensum: 100% Start: ASAP ( Duration: 12++ Months Deadline:
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