Your 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
Your background
* 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
* 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
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