PbDevelopment Engineer Manufacturing Processes: RD / Data Science / Bioinformatics Manufacturing / ETL / Python / Medical Device / SQL / applied Statistics / German / English /b /ppbProject: /b br/For our customer based in Rotkreuz, we are looking for a Development Engineer Manufacturing Processes. /p pbBackground: /bbr/Clinet is providing Near-Patient-Care BGE systems for the measurement of blood gasses, electrolytes and metabolites in human blood samples. In our RD chapter „BGE Sensors Reagents Processes“ we develop novel sensor cartridge designs, including the respective manufacturing processes. /p pThe Perfect Candidate will bring professional experience from industrial RD 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 effectively support development teams. Strong advantages are offered to candidates with skills in digital image processing, proficiency in object-oriented programming (OOP) with Python, and knowledge of SQL /p pbTasks Responsibilities: /bbr/* Working in an interdisciplinary team of engineers to develop and improve designs and manufacturing processes for thick film sensorsbr/* Improve and maintain the data infrastructure and pipeline for production and process control data from various sources and ensure timely data availabilitybr/* Act as a technical interface between RD and Production and between various RD departments to harmonize data handling and standards.br/* Improve and maintain data visualization tools (dashboards, interactive charts) and support in routine data analysisbr/* Support in defining and improving image analysis methods and tools to derive quantitative feature values from imagesbr/* Extend the data infrastructure with additional information, e.g. from sensor performance characterizationbr/* Data driven improvements of manufacturing processes /p pbMust Haves: /bbr/* Completed technical training in process engineering, data science, bioinformatics, or similar professional educationbr/* Professional experience in industrial RD or manufacturing environment, ideally in the medical device industry or a comparable regulated environment br/* Experience in building and maintaining data pipelines (ETL processes) from diverse sources such as SQL databases, CSV, and machine log files br/* 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 br/* Skills in digital image processing, object-oriented programming (OOP) in Python, and knowledge of SQL are a strong advantage, adding significant value to this opportunitybr/* Good communication skills in a multicultural and multidisciplinary environment br/* A thorough way of working and documentationbr/* Motivated team player with passion in promoting and driving fast-paced and ambitious projectsbr/* Aptitude to understand and improve the underlying technical processesbr/* Proficiency in both English and German /p