Data Engineer Lab Digitalisation

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

School of Life Sciences FHNW, Institute for Pharma Technology and Biotechnology

Flexibility, self-determination, creativity, interdisciplinarity - our mission

The FHNW School of Life Sciences offers state-of-the-art technical, laboratory and office facilities. Contributing to the school’s highly motivating working environment – which is second to none – are its collaboration with a large number of companies and institutions in Switzerland and abroad, a widely varied programme of scientific events, and daily contact with young students in research and teaching. The FHNW is also committed to equal opportunities and the compatibility of private and professional life.

• Degree (Bachelor/Master) in computer science, data science, bioinformatics or a comparable field

• Several years of data engineering experience with Python 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 collaboration, and good German and good English skills