Research Data Specialist (m/f)

Description:Your roleAs a Research Data Specialist, you will support researchers in managing data across the research lifecycle. You will implement FAIR-compliant RDM strategies and collaborate with data and library specialists across faculties, working at the intersection of research and infrastructure in a diverse, forward-looking environment.Key responsibilities:• Contribute to the design and implementation of guidelines and procedures for adequate data lifecycle management, standards, documentation, and information security• Assist with managing data submissions, e.g. sequencing, clinical assay and survey data, handling data access requests and support in downstream processes, while ensuring appropriate documentation and metadata standards• Facilitate data preservation, archiving and sharing• Contribute to specific project deliverables as required• Contribute to the development of innovative discipline-specific services and tools relevant to research data• Contribute to the development of training materials on relevant topics, including Data Management and Reproducibility• Contribute to projects, project deliverables, scientific publications, and community work in the field of Data Stewardship• Contribute to the development and improvement of procedures/practices, as well as novel IT solutions as required by advancements in the field• Collaborate with IT, Library and Research Support teams to promote coordinated data management services Your profile:• Postgraduate/Master's degree/qualification in computer science, engineering, data science, or a related discipline • Demonstrable experience of collaborative research, research data management and data quality control • Demonstrable computer programming skills are essential, with good knowledge of CLI and Python/R• Proven experience using REDCap for the design, management, and export of study data• Good knowledge of research practice, as well as a broad understanding of how research operates, and how data and software underpin reproducible research• Knowledge of metadata standards and ontologies relevant to the fields of life sciences, medicine and health is considered an asset• Experience with biomedical and health data is considered an asset, including data derived from electronic health records, patient-generated data, clinical, omics, imaging data• Knowledge and experience of an ELN software is considered an asset• Fluency in English is required We offer:• A modern, dynamic university with a personal...

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