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

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Permanent
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Research and development specialist
• Job Reference: UOL08181

.

About the FSTM

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.