Description

• Engineering - Mechanical Engineering
• Zug
• Contracting
• Vollzeit
• Data Analysis, GMP, Medizintechnik

Your 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

Your background:

• 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 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 (e.g., 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.