- 36 hours a week
- 2 years
- Date of publication: 7 January 2019
- Deadline: 1 February 2019
- Scale 9/10: max € 60864 gross per year at full employment (incl. vacation bonus and end of year payments)
Job descriptionWithin the contexts of the national large-scale X-omics research infrastructure (coordinated by prof. Alain van Gool, Radboudumc), a ZON-MW project for FAIRification of genomic data (coordinated by prof. M.A. Swertz, UMCG) and the European Joint Programme on Rare Diseases (coordinated by dr. Julkowska at Inserm), we are looking for an enthusiastic and ambitious data steward, who will support biomedical researchers to increase the FAIRness (Findable, Accessible, Interoperable, and Reusable) of their data.
GO FAIR is the initiative to make the FAIR principles a working standard in science. Radboudumc is also working towards FAIR research. Momentarily increasing volumes of genomics, proteomics, and metabolomics are being generated world-wide, but they are not yet used to their full potential because they score low on FAIR metrics: data get lost, are locked in silos, cannot be interpreted because they are not associated with descriptive metadata, or miss essential details on the way they are produced. Within national and international contexts, we are working to increase the reusability of -omics data, even beyond the purpose for which they were originally generated. This will advance both research and clinical care, and contribute to personalized health and medicine.
The data steward will develop data models and tools to capture FAIR data at the source (i.e. where the data are generated or analysed) and facilitate the publication of research data in FAIR Data Points and registries.
Tasks and responsibilities
- Design (meta)data models for -omics data based on existing ontologies and standards;
- Engaging with biomedical scientists and clinicians, and support and train them in FAIR data management and the data FAIRification process, e.g. through participation in Bring-Your-Own-Data workshops;
- Co-develop software, tooling, services, and Standard Operating Procedures (SOP) / policy around the FAIR capture and publication of data and metadata;
- Participation in national and international data stewardship discussion groups and coordination and competence building initiatives, such as the rare disease linked data and ontology task force and the data steward interest group run by the Dutch Techcentre for the Life Sciences;
- Work with the RTC-DS team to optimize the DRE for the needs of handling –omics data.
- Academic title (MSc or PhD) in a relevant discipline (data management, data science, biology, bioinformatics, computer science, artificial intelligence);
- FAIR data is your mission;
- At least a few years of work experience with data management;
- Experience with data modelling and knowledge of formal data representations;
- Excellent programming skills in a relevant language (python, Java, C++, …);
- Proven ability to work in multidisciplinary teams;
- Excellent writing and verbal communication in Dutch and English;
- Semantic web / linked data skills preferred.
OrganizationThe Centre for Biomolecular and Molecular Informatics (CMBI) is well known for the development of new computational approaches for the study of the gene en protein variation and for its ability to turn ‘omics data into biomedical understanding. The CMBI develops bioinformatics approaches that contribute to the understanding of disease mechanisms, personalized therapies and interventions, and a learning health care system. The CMBI is committed to the reusability of their data, tools, and services, and puts the FAIR (Findable, Accessible, Interpretable, Reusable) data principles into action.
The Radboud Technology Center for Data Stewardship (RTC-DS) develops and supports various ICT solutions for research data management. Our mission is to supply researchers with data management tools to both facilitate ground breaking research and simplify the compliance to laws, regulations and standards (like FAIR). At the heart of our suite of tools is the internationally acclaimed Digital Research Environment (DRE), a comprehensive and flexible analysis environment. We are currently rebuilding the DRE, a process which will be co-shaped by the Assistant professor Bioinformatics for Personalized Medicine.
Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy.
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Employment conditionsUpon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be, depending on the type of job, a screening based on the provided cv. Radboud university medical center’s HR Department will apply for this certificate on your behalf.
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Comments and contact informationAll additional information about the vacancy can be obtained from Prof. Dr. Peter-Bram 't Hoen, professor of Bioinformatics or Ir. Ariaan Siezen, Teamleader RTC Data Stewardship via +31 (024) 361 97 63.
Please apply before February 1.
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