Data Engineer Lab Digitalisation

--- base: meta-keywords: meta-viewport: width=device-width, initial-scale=1.0 title: Data Engineer Lab Digitalisation (50–80%) ---   Data Engineer Lab Digitalisation (50–80%) ===========================================     Data Engineer Lab Digitalisation (50–80%) =========================================== School of Life Sciences FHNW, Institute for Pharma Technology and Biotechnology ------------------------------------------------------------------------------- Flexibility, self-determination, creativity, interdisciplinarity - our mission Your tasks We are digitalising our biotech laboratory: lab instruments, databases and analytics are to be brought together on one central data platform. You will play a key role in this. Design and build a scalable data platform for laboratory and research data Connect lab instruments (e.g. anayltic instruments, spectrometers, bioreactors), existing databases and LIMS/ELN via interfaces and standards such as OPC UA. Develop and operate automated data pipelines (ETL/ELT), including data quality, metadata management and versioning Make data available for analytics, dashboards and machine learning in line with the FAIR principles Ensure data security, access control and data integrity, and document and train users in close collaboration with research, lab and IT teams In addition, you will be actively involved in applied research projects with several industrial partners Your profile You combine solid software engineering with a passion for the life sciences. Degree (Bachelor/Master) in computer science, data science, bioinformatics or a comparable field Several years of data engineering experience with and SQL, workflow tools and containers (Docker) Knowledge of relational and NoSQL databases, cloud or on-premise data platforms and API development Experience with laboratory data, instrument integration, LIMS/ELN or regulated (GxP) environments is a plus Independent, structured way of working, enjoyment of interdisciplinary collabo