Position
Immersive manufacturing internship at Roche Diagnostics' Rotkreuz site. The Manufacturing Science and Technology (MSAT) team within Sensor and Cartridge Operations ensures the efficient and high‑quality production of electrochemical sensors and cartridges by bridging the gap between product development and full‑scale manufacturing. The role provides hands‑on experience in diagnostics, personal and professional growth, and a supportive culture with mentorship and a modern work‑life balance.
Opportunity
* You will transform raw manufacturing data into actionable intelligence to ensure the world’s most reliable and rapid patient diagnostics.
* Your role involves applying Computer Vision methods for feature extraction on sensor surface scans to uncover deep insights.
* You will design and implement Machine Learning and Deep Learning Proof‑of‑Concepts to optimize complex production processes.
* Data‑driven discovery guides your work as you use classical statistics and predictive modeling to uncover hidden patterns in imaging and process data.
* Collaboration and presentation are key as you share findings with multidisciplinary teams to directly influence process improvements.
* Your work focuses on cutting‑edge AI projects within a highly regulated and high‑stakes medical environment.
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 are currently enrolled in a Bachelor or Master’s program, or have completed your degree within 12 months of the start date, preferably in a field of Computer Science, Physics, Electrical Engineering, Process Engineering, or a related technical field.
* You are a tech‑enthusiast who enjoys seeing code come to life in physical products and has a genuine interest in how cutting‑edge technology meets modern manufacturing.
* You possess hands‑on Machine Learning experience, having already applied models to real‑world datasets beyond classroom exercises.
* Technical proficiency in Python and its ecosystem, including OpenCV, PyTorch/TensorFlow, Scikit‑learn, and Pandas, is essential for this role.
* A strong foundation in statistical data analysis enables you to maintain a consistently analytical mindset.
* Fluency in both English and German is required to collaborate effectively within our team environment.
Application Process
Please upload your CV, a motivation letter with your application, and a certificate of enrolment (if you are currently studying).
Non‑EU/Non‑EFTA citizens must attach a confirmation from the university to the application documents, stating that a mandatory internship is part of the education and be continuously enrolled in their university for the whole duration of this internship.
Roche is an Equal Opportunity Employer.
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