Data Engineer Lab Digitalisation
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- 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
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 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
- mrs
- Cristina
- Kabas
- cristina.kabas@fhnw.ch
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