- 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)
- 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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