Research Data Specialist

Your role

As 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 and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs