Development Engineer Manufacturing Processes 80-100%

Roche Schweiz bridges the gap between pharmacy and diagnostics. It hosts important research and development functions. For our long-term client, Roche Diagnostics International AG in Rotkreuz, we are looking for a

Background:

Roche Diagnostics International Ltd in Rotkreuz is one of the world’s leading providers of diagnostic system solutions for clinics, laboratories, and doctors’ offices. The company employs over 2200 people in Rotkreuz and is one of Roche Diagnostics' main sites. Roche Diagnostics provides Near-Patient-Care BGE systems for the measurement of blood gases, electrolytes, and metabolites in human blood samples. In our R&D chapter “BGE Sensors Reagents & Processes,” we develop novel sensor cartridge designs, including the respective manufacturing processes.

The perfect candidate will bring professional experience from industrial R&D or a manufacturing environment, with a strong preference for backgrounds in the medical device or a similar regulated industry. Essential technical skills include expertise in establishing and managing data pipelines (ETL) from diverse sources like SQL databases, CSVs, and machine logs, as well as the capacity to develop interactive dashboards and visualization tools. A solid grasp of applied statistics, such as correlation and cluster analysis, is necessary to support development teams effectively. Strong advantages are offered to candidates with skills in digital image processing, proficiency in object-oriented programming (OOP) with Python, and knowledge of SQL.

Tasks & Responsibilities:

• Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensors.
• Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availability.
• Act as a technical interface between R&D and Production and between various R&D departments to harmonize data handling and standards.
• Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysis.
• Support in defining and improving image analysis methods and tools to derive quantitative feature values from images.
• Extend the data infrastructure with additional information, e.g., from sensor performance characterization.
• Data-driven improvements of manufacturing processes.

Must Haves:

• Completed technical training in process engineering, data science, bioinformatics, or similar professional education.
• Professional experience in industrial R&D or manufacturing environment, ideally in the medical device industry or a comparable regulated environment.
• Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files.
• Ability to create interactive dashboards and visualization tools with a solid understanding of applied statistics (e.g., correlation analysis, cluster analysis) to support the development teams.
• Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunity.
• Good communication skills in a multicultural and multidisciplinary environment.
• A thorough way of working and documentation.
• Motivated team player with a passion for promoting and driving fast-paced and ambitious projects.
• Aptitude to understand and improve the underlying technical processes.
• Proficiency in both English and German.

What We Offer:

• A chance to be part of one of the world's most significant pharmaceutical companies.
• Modern campus with plenty of green spaces and meeting zones.
• Central location with highway access and nearby train station.
• Diverse job profile.
• Home office possibility.
• Training opportunities through temptraining.
• Participation in a dynamic and motivated team.
• Good remuneration.

You are welcome to send your complete application documents to Ms Nadine Rutz.

Data Engineering Medtech Diagnostik Fulltime Parttime Remote Bioinformatik