Lab Data Platform Engineer (Remote/Part-time)

UZH Alumni; Muttenz; Remote; CHF 72,000 - 108,000; Part time

Benefits offered by this job

Wide range of university sports

Cultural programme of lectures, etc.

Equal pay implementation

Promotion of doctoral projects

42-hour week with part-time and tele-?

Job summary

Fachhochschule Nordwestschweiz FHNW is seeking a Data Engineer for Lab Digitalisation (50–80%). You will help digitalise biotech lab data, connect instruments, databases and LIMS/ELN, and build an extensible data platform for analytics and ML.

You will work in a collaborative environment with research, lab and IT teams. The role requires Python/SQL skills, experience with Docker and data integrations, and proficiency in German and English.

Qualifications

• Bachelor or Master in CS, data science, bioinformatics or comparable field.
• Several years of data engineering with Python and SQL, workflow tools, and containers (Docker).
• Knowledge of relational and NoSQL databases, cloud or on-prem data platforms, and API development.
• Experience with lab data, instrument integration, LIMS/ELN or regulated (GxP) environments is a plus.
• Independent, structured working style with good German and English skills.

Responsibilities

• Design and build a scalable data platform for laboratory and research data.
• Connect lab instruments, databases, 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 per the FAIR principles.
• Ensure data security, access control and data integrity; document and train users with research, lab and IT teams.
• Actively participate in applied research projects with industrial partners.

Skills

Python

SQL

Workflow tools

APIs

GxP environments

Education

Bachelor/Master in computer science, data science, bioinformatics or comparable

Tools

Docker

Job description

Fachhochschule Nordwestschweiz FHNW is seeking a Data Engineer for Lab Digitalisation (50–80%). You will help digitalise biotech lab data, connect instruments, databases and LIMS/ELN, and build an extensible data platform for analytics and ML.

You will work in a collaborative environment with research, lab and IT teams. The role requires Python/SQL skills, experience with Docker and data integrations, and proficiency in German and English.