Biotech Data Platform Engineer: ETL & Lab Instrument

University of Applied Sciences and Arts Northwestern Switzerland FHNW; Muttenz; Hybrid; CHF 120,000 - 150,000; Full time

Benefits offered by this job

Wide range of university sports

Cultural programme of lectures, events

Mentoring programme for career开发

Job summary

FHNW School of Life Sciences seeks a skilled data engineer to design and implement a scalable data platform for laboratory and research data. You will connect lab instruments and LIMS/ELN systems, and develop automated data pipelines with strong data governance.

You will contribute to applied research projects with industrial partners, collaborating closely with research, lab and IT teams while ensuring data security and compliance.

Qualifications

• 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.
• Good German and good English skills, independent and collaborative work style.

Responsibilities

• Design and build a scalable data platform for laboratory and research data.
• Connect lab instruments and LIMS/ELN via interfaces and standards such as OPC UA.
• Develop and operate automated data pipelines (ETL/ELT) with data quality and metadata management.
• Make data available for analytics, dashboards and machine learning in line with FAIR principles.
• Ensure data security, access control and data integrity; document and train users with IT teams.
• Engage in applied research projects with industrial partners.

Skills

Python

SQL

Workflow tools

Docker

APIs

Relational databases

NoSQL databases

LIMS/ELN

Education

Bachelor/Master in computer science or related

Tools

LIMS/ELN

Job description

FHNW School of Life Sciences seeks a skilled data engineer to design and implement a scalable data platform for laboratory and research data. You will connect lab instruments and LIMS/ELN systems, and develop automated data pipelines with strong data governance.

You will contribute to applied research projects with industrial partners, collaborating closely with research, lab and IT teams while ensuring data security and compliance.