Design and build a scalable data platform for laboratory and research data to support analytics and machine learning. Develop and operate automated data pipelines (ETL/ELT), including data quality, metadata management, and versioning, while ensuring data security and integrity. A degree in computer science, data science, or bioinformatics is required, alongside experience with Python, SQL, and container technologies like Docker.
(KI generierte Zusammenfassung)
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