The hiring organization is one of the world’s leading providers of diagnostic system solutions for clinics, laboratories, and physicians’ offices. The site in Rotkreuz employs more than 2,200 people and is one of the company’s major global hubs for diagnostic development and production.
The company develops Near‑Patient‑Care BGE systems for measuring blood gases, electrolytes, and metabolites in human blood samples. Within the R&D chapter (to be discussed) the teams focus on developing novel sensor cartridge designs, along with their associated manufacturing processes.
The ideal candidate brings professional experience from industrial R&D or a manufacturing environment, with a strong preference for backgrounds in the medical device or other regulated industries. Essential technical skills include establishing and maintaining data pipelines (ETL) from diverse data sources such as SQL databases, CSV files, and machine log data, as well as the ability to develop interactive dashboards and visualization tools.
A solid understanding of applied statistics—such as correlation and cluster analysis—is required to effectively support development teams. Strong advantages include skills in digital image processing, proficiency in object‑oriented programming (OOP) with Python, and knowledge of SQL.
General Information
Planned Duration of Employment: unlimited
Home Office: Yes, max. once a week
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 (*****) - must have
Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files (*****) - must have
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 (*****) - must have
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 (*****) - must have
Good communication skills in a multicultural and multidisciplinary environment
A thorough way of working and documentation
Motivated team player with passion in promoting and driving fast-paced and ambitious projects
Aptitude to understand and improve the underlying technical processes
Proficiency in both English and German
*While we appreciate every application, please note that due to the high volume of responses, we may only be able to contact shortlisted candidates.
**Please note that we can only consider EU/Schengen applications
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