About the company

SHL Medical is a world-leading provider in the design, development, and manufacturing of advanced self-injection devices. With a global team of 6,000 employees, we partner with leading pharmaceutical and biotech companies to deliver innovative autoinjectors, pen injectors, and other drug delivery systems that ensure effective treatment for patients. Headquartered in Switzerland since 2018, with key operations in Sweden, Taiwan, and the US, we are united by a commitment to innovation, impact, and growth. Together, we empower our people to develop solutions that make a meaningful difference in the lives of millions of patients while fostering a supportive, inclusive, and dynamic workplace for our colleagues. 

Job Overview

We are offering a dynamic internship opportunity for students in Engineering or Applied Sciences who are passionate about data-driven decision-making and process optimization. You will join our Operations Engineering team to evaluate, design, and improve factory logistics and production systems. By blending Lean methodologies with advanced data analysis and simulation tools, you will directly contribute to bridging traditional manufacturing with our digital factory initiatives.

Main Responsibilities

• Collaborate with senior engineers to analyze, map, and optimize production workflows, intralogistics, and overall factory operations.
• Drive data collection and structuring initiatives to feed into our capacity planning and operational models.
• Evaluate operational data using tools such as Excel, SQL, Python, or Discrete Event Simulation to identify trends, track Key Performance Indicators (KPIs).
• Design clear, concise data visualizations to effectively communicate insights and simulation results to the broader Operations team.
• Ensure accurate documentation of data structures and process models to enable smooth knowledge transfer and future-proof our digital assets.
• Participate in interdisciplinary and intercultural teams, providing technical insights.

Minimum Requirements

• Interest in high-volume production, process automation, control engineering and medical manufacturing.
• Solid analytical skills with familiarity in data analysis and visualization tools (e.g., Advanced Excel, Python or SQL)
• Basic understanding of, or strong interest in, production simulation, capacity planning, and digital twin concepts.
• Strong communication skills in English, with the ability to translate complex data, statistical models, and simulation results into clear, actionable insights for non-technical stakeholders
• Diligent, reliable, and target-oriented team player with a drive to discover unconventional solutions.
• Student in Engineering, Applied Sciences, or a relevant field (e.g., System Engineering, Industrial Engineering, Production Management/Logistics, or Data Science applied to manufacturing).

Preferred Requirements

• Understanding of injection molding / automated assembly processes.
• Previous exposure to Discrete Event Simulation software (e.g., Siemens Plant Simulation, FlexSim)
• Knowledge of programming languages (e.g., Python, MATLAB, C) for data processing.
• Experience with 2D/3D CAD tools.

We Offer
•    A company culture Focusing on our Customers, Operating with Ethics and Integrity, Driving Simplicity, Learning, Improving & Delivering Together.
•    A multicultural team and modern working environment with state-of-the-art facilities and technologies. 
•    Challenging assignments in a fast growing and innovative industry. 
•    Various opportunities for personal and professional development within a global organization. 
•    Flexible hours and hybrid working policy.   
•    Centrally located office in Zug, very close to the train station.  

Interested in joining SHL Medical and in supporting us with your expertise and personality? Then we look forward to receiving your application including your CV, motivation letter, and all other relevant documents.

For more information on SHL Medical, please visit: shl-medical.com

Please note: We do not accept applications from recruitment agencies for this role.