Working environment The postdoc will be part of the Genomics Coordination Centre (GCC), the ‘big data’ research & service hub of the University Medical Centre Groningen (UMCG), and the Franke-Swertz Lab research group ( http://systemsgenetics.nl), situated in the Genetics department of the UMCG. These are exciting times in biotechnology that are producing terabytes of Biobank, DNA, mutation, protein, molecular and phenotype profile data. This wealth of data offers unprecedented possibilities for new ways of predicting both disease and health status, but also presents big challenges in how to share, (re)use and analyse all this new, and sensitive, information. Our 25-member team is working together on diverse local, national and EU projects to produce clever software that expedites medical research and improves healthcare using open source web applications (see http://github.com/molgenis <https://github.com/molgenis>), (HPC) analysis pipelines and large-scale e-infrastructure (cluster, storage, cloud). Through these efforts the GCC contributes to the goal of making scientific research data meet FAIR (Find Able, Accessible, Interoperable, Reusable) principles. Job description We are looking for a postdoc data scientist to develop models, techniques and tools for promoting the re-use and reproducibility of scientific research in accordance with FAIR principles. In recent years, the GCC has been heavily invested in developing smart tools to integrate data using ontologies and semantic search methods (Biobank Connect, SORTA, MOLGENIS/connect) and in developing data models and data structures that promote re-use (Observ-OM, MIABIS, FAIR) and sharing of data (Beacons, CafeVariome). Our work has produced many top-quality MOLGENIS open source software applications, and writing the publications about these tools is part of this postdoc. We expect that this research line will develop further through our (inter)national collaborations with institutes in the BBMRI, CORBEL, ELIXIR, DTL and RD-connect networks, and in cooperation with the six-person MOLGENIS open source team and 20-person Franke-Swertz Lab to produce widely-applicable reusable e-infrastructure, particularly for the life sciences and personalized medicine. What do we need The ideal candidate is a PhD in (Bio)informatics or Data Science who: - Has a passion for data modelling/ontologies/integration/re-use - Communicates easily with colleagues and collaborators, primarily in English - Can write publications about our methods, software and applications - Can implement methods in Java services with Javascript user interfaces - Can test these in practice in the context of large-scale ‘top-level’ biomedical research - Collaborates well in international consortia and with researchers from other disciplines - Is prepared to travel Experience in large-scale biomedical studies involving Biobanks, NGS, molecular experiments and phenotype data and with the resulting bioinformatic data integration and (HPC) analysis pipelines, as well as knowledge of, for example, semantic web/linked data, REST/JSON-LD, linked data fragments, standards in biosharing.org, machine learning and biomedical ontologies is a plus. The UMCG has a preventive Hepatitis B policy. You may be required to build up sufficient protection against Hepatitis B before you can be appointed. Vaccination is provided by the UMCG if necessary. What do we offer An appointment of 0.8-1.0 FTE as a postdoctoral fellow for two years (with a possible extension), embedding in a dynamic department of top genetic researchers (including a Spinoza prize winner), a large group of programmers to publish with, a service desk that assists a wide range of researchers, and the opportunity to work both in Europe and internationally. Your salary will be a maximum of € 4.152,- gross per month (scale 10), depending on your qualifications and relevant experience, based on a full-time appointment. In addition, the UMCG will offer you 8% holiday pay, an 8.3% end-of-year bonus and a development budget. The terms of employment comply with the Collective Labour Agreement for Medical Centers (CAO-UMC). *For more information please contact:* Prof. Morris Swertz, Head of the Genomics Coordination Centre, by telephone +31 (0) 50 361 7100 or email: m.a.swertz@rug.nl (please do not use for applications) S. Scholtens, manager, telephone +31 (0)50 361 1087 op email: s.scholtens@umcg.nl (please do not use for applications) Applying for a job http://www.umcg.nl/NL/UMCG/Werken_in_het_UMCG/Vacatures/Externe_vacatures/Medischwetenschappelijk_personeel/Paginas/Postdoc_bioinformaticsdata_science_-_FAIR_data_and_reproducible_science.aspx?nieuwsbriefType=Vacature&nieuwsbriefTitel=Vacatures+per+e-mail+24+maart+2017&ns_type=clickin