Data Engineer

vor 4 Wochen

Basel, Schweiz The Biozentrum, University of Basel Vollzeit

Your position



Maintain an in-depth knowledge of the user-facing aspects of the data management platform LabKey (built-in modules and functionalities, automation, use of API with data analysis tools, SQL-query framework) Conduct technical onboarding of new research projects on the platform Handle user management, such as assigning roles and giving access rights  Provide level 1 support to users and channel support requests to the vendor Contribute to the configuration and operation of data management for projects of strategic importance for the University of Basel Train users and local experts (e.g. data stewards, data managers in research groups and platforms) Establish, update and maintain user-facing documentation for the tool, document internal processes related to the platform Consult and implement group-specific work spaces (definition of data model, setup of user interfaces, etc.), support research projects that are preparing data-sets for publication Maintain a good link with and contribute to support for other data management systems and DB solutions offered in sciCORE (e.g. REDCap), as needed Maintain an continuous understanding of the data management solutions market (technology watch)
As the service owner of the data management platform, this role will be: the point of contact for the users of the service the point of contact with the software vendor looking for synergies with other data management services (internally and externally) ensuring smooth evolution of the service (change management)

Your profile

Essential:

Masters in computational sciences, with 3 or more years of work in academic research (with data science as a focus) Proven experience of conducting data management (including data modeling) in projects with a variety of data types Proven experience of work with research data management systems (e.g. LabKey, ELN wiki, OMERO, OpenSpecimen, OpenBIS) Experience in programming with scripting languages (e.g. Python, javascript, APIs) in Linux environment Hands-on experience with relational database technologies (SQL) Agile, proactive, self-starter, service-oriented and collaborative spirit of mind, motivated to work in a research-support role (close to researchers) Fluent in English (oral and written) as working language
Desirable:
Experience working with data types and processes used in life sciences (*omics, imaging, wetlab data, clinical data, sample management, etc.) Experience with semantic data management frameworks (RDF, GraphDB, OBO foundry, biomedical ontologies) German (oral and/or written)

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