Develop a technical understanding of the data life cycle in the SwissPedHealth project (clinical data, genomics and other *omics data, ...); Collaborate with data engineers, working groups and the data coordination center (DCC) in the SPHN initiative to identify reusable technologies and processes; Acquire practical know-how with the tools used in the BioMedIT network (data management systems, data transfer tools, semantic tools); Develop, implement and maintain "glue software" and workflows between the tools and services used to integrate and share complex scientific data
Requirements:
PhD or Masters with 3 or more years of work in academic research; Experience of work with scientific data management systems (e.g. LIMS, such as, LabKey, OpenBIS, ...), including work with APIs; Experience in programming with scripting languages (Python, javascript) in Linux environment; Understanding of databases (SQL, NoSQL, graph databases) and data modeling
Text:
Data Engineer Develop a technical understanding of the data life cycle in the SwissPedHealth project (clinical data, genomics and other *omics data, ...); Collaborate with data engineers, working groups and the data coordination center (DCC) in the SPHN initiative to identify reusable technologies and processes; Acquire practical know-how with the tools used in the BioMedIT network (data management systems, data transfer tools, semantic tools); Develop, implement and maintain "glue software" and workflows between the tools and services used to integrate and share complex scientific data PhD or Masters with 3 or more years of work in academic research; Experience of work with scientific data management systems (e.g. LIMS, such as, LabKey, OpenBIS, ...), including work with APIs; Experience in programming with scripting languages (Python, javascript) in Linux environment; Understanding of databases (SQL, NoSQL, graph databases) and data modeling
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