Internship: Optical Inspection Systems & Machine Learning in Medical Device Manufacturing (6-12 months in Rotkreuz) — Roche

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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Immerse yourself in the fascinating everyday working life at Roche Diagnostics surrounded by beautiful mountains, not far from the scenic Lake Zug and yet close to the cities of Zug, Zurich and Lucerne. Here, where we have been rooted for over 50 years, we develop and produce diagnostic solutions and help to find answers to health questions. The Rotkreuz site, where a wide variety of disciplines work hand in hand, is a meeting place for over 2,700 talented employees from 70 different nations. Our campus invites people to work together, be creative and realise their full potential. We believe that a positive work environment, employee satisfaction, inclusion and sustainability are key to growing together and improving the lives of patients around the world. Welcome to Roche in Rotkreuz. Embark on a transformative learning experience with Roche Diagnostics in Rotkreuz. Designed to nurture emerging talent, this program offers a dynamic and immersive opportunity to gain hands-on experience in the field of diagnostics, fostering personal and professional growth. The Manufacturing Science and Technology (MSAT) team within Sensor and Cartridge Operations ensures the efficient and high-quality production of electrochemical sensors and cartridges, reagents and fluid packs by bridging the gap between product development and full-scale manufacturing. The Opportunity

• You transform raw manufacturing data into actionable intelligence to ensure high-quality product consumable assemblies.
• Your role involves evaluating and deploying a microscopy-based optical stage to inspect and analyze product components.
• You apply Machine Learning algorithms for automated feature extraction and classification to establish accept/reject criteria before final assembly.
• Data analysis guides your work as you leverage classical statistics and predictive modeling to correlate imaging features with process parameters and quality.
• Collaboration and presentation are key as you present analytical findings to multidisciplinary teams (Operations, R&D) to drive data-backed mitigations for in-field quality issues.
• Your work focuses on a critical, high-priority product care project, solving real-life issues that occur at the customer site to bring solutions to the market.
• The position offers a supportive culture with professional growth, mentorship, and a modern work-life balance including on-site perks and work-from-home options. Who You Are
• You have completed a Bachelor’s or Master’s degree within the last 12 months, or are currently enrolled in a Master’s program, specializing in Biomedical, Mechanical, or Process Engineering, Mechatronics, or a related technical field.
• You are a tech-enthusiast who loves to see code come to life in physical products and has a genuine interest in how cutting-edge technology meets modern manufacturing
• You possess a strong analytical and troubleshooter mindset, acting as an independent worker who is also a dedicated team player.
• Technical expertise in Python and its ecosystem is a strength you bring to the role, alongside your proficiency in image analysis tools.
• You can leverage any additional knowledge in optics and spectroscopy, which is considered a plus for this position.
• A strong foundation in statistical data analysis ensures that you remain highly data-analysis driven in all your tasks.
• You are fluent in English, while German is a plus as it facilitates a collaborative environment within the team. Application Process •