Data Engineer Lab Digitalisation
Summary
Data engineer (50-80%, fixed term to end-2027) at FHNW's School of Life Sciences in Muttenz, building a central data platform for a biotech lab: connecting instruments, LIMS/ELN and databases via standards like OPC UA and running ETL/ELT pipelines for analytics and machine learning. Core stack: Python, SQL, Docker.
Werde Data Engineer:in im innovativen Labor für Digitalisation! Arbeite in einem kreativen Umfeld mit flexiblen Arbeitszeiten.
Aufgaben
- Entwickle eine skalierbare Datenplattform für Labor- und Forschungsdaten.
- Integriere Laborinstrumente und Datenbanken über Schnittstellen.
- Betreibe automatisierte Datenpipelines für Analytics und Machine Learning.
Fähigkeiten
- Abschluss in Informatik, Datenwissenschaft oder Bioinformatik erforderlich.
- Erfahrung in Python, SQL und Datenengineering ist ein Muss.
- Kenntnisse in relationalen und NoSQL-Datenbanken sind vorteilhaft.
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 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
Your prospects:
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.
Your benefits:
- Wide range of university sports
- Cultural programme of lectures, concerts, theatre and films
- Established implementation of equal pay
- Targeted promotion of doctoral projects
- Annual working time (42 hours/week) with the option of part-time and teleworking
- Mentoring programme for career development
Start Date: by agreement, ending on 2027 12 31 .
Your workplace
Fachhochschule Nordwestschweiz FHNW
Hofackerstrasse 30
4132
Muttenz
Any questions?
About the position:
Prof. Dr. Thomas K. Villiger, , Contact: thomas.villiger@fhnw.ch
About the recruiting process:
Cristina Kabas, HR Manager, Contact: cristina.kabas@fhnw.ch
by 31 December 2026.