Data Engineer Lab Digitalisation

myjob · Laboratory Equipment · Python · SQL · ETL/ELT · 2 days ago
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Location
In office (Muttenz)
Employment
Part-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 3, 2026. myjob scores A on the Alion truth index.

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myjob

myjob is a regional online job portal for northwestern Switzerland, listing vacancies from employers in the triangle between Bern, Basel and Zurich, including the cantons of Aargau and Solothurn, and operated within the CH Media group from Aarau. The portal says it shows almost all advertised positions in its region, about 47,800 at the time of review, and offers search by job type, workload and occupational group, job alerts, employer profiles, career advice and paid listings for employers, alongside sister portals such as ostjob. Listings span construction managers, electricians, mechanics, engineers, retail and care staff, controllers, IT specialists and apprentices.
myjob.ch · HQ: Aarau, Switzerland · Online Classifieds · Job Boards & Aggregators · 5000+ employees
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

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
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