Design and build a scalable data platform for laboratory and research data to integrate instruments, databases, and analytics. Develop and operate automated data pipelines, including ETL/ELT, and ensure compliance with FAIR principles for analytics and machine learning applications. Candidates must possess solid software engineering experience with Python and SQL, alongside familiarity with containers, APIs, and the integration of lab instruments using standards such as OPC UA.
(KI generierte Zusammenfassung)
… research, lab and IT teams In addition, you will be actively ... 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- ...
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