id:
NTE5MDFiMTYtOTMxMS00NDUyLWIwMjUtMGI1YjYzNTc3NzVjIDQy

reference: 51901b16-9311-4452-b025-0b5b6357775c

documentId: WERKNL22075838

connectionPointId: 42

Functietitel: Data Steward

Functieomschrijving:
For our client we are looking for an enthusiastic and ambitious data steward, who will support clinicians to increase the FAIRness of their patient data, and unlock them for use in clinical patient management, research and improvement in quality of care. 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. A specific focus will be on the joint analysis of data from clinical registries and patient reported outcomes. The data steward will work in the context of the European Joint Programme on Rare Diseases and closely interact with data stewards appointed on other projects (X-omics, FAIRgenomes) with highly similar goals.

Design (meta)data models for rare disease data based on existing ontologies and standards;
Engaging with 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;
Functie eisen:

Academic abstractJV_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;
Semantic web / linked data skills preferred;
Programming skills in a relevant language (python, Java, C++, …) is a plus;
Proven ability to work in multidisciplinary teams;


numberOfPosts: 1

jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C3314

abstractJV_contact_0: CV with attached letter,Telephone

positionTypeCode: directhire

contractTypeCodes_0: fulltime

Werkgever Naam: WTS Detachering

source: NL