Within the contexts of the national large-scale X-omics research infrastructure (coordinated by Prof. Alain van Gool, RadboudUMC) and the European Joint Programme on Rare Diseases (EJPRD, coordinated by Dr. Julkowska, Inserm, Paris), we are looking for an ambitious data scientist, who develops data analysis and integration approaches for large-scale -omics data and is dedicated to the introduction of these approaches in personalized health care. The candidate is committed to the counselling and training of biomedical researchers in these computational approaches. The candidate will contribute to the realization of a digital research environment (DRE) where these computational approaches can be applied and which contributes to the Findability, Accessibility, Interoperability and Reusability (FAIRness) of data, tools and services.

Tasks and responsibilities

• Develop and benchmark computational approaches for the analysis of X-omics data;
• Leading role in analysis of relevant X-omics data sets from disease (primary immunodeficiencies, intellectual disability syndromes, rare diseases such as myotonic dystrophy) and population cohorts;
• Advise and support biomedical scientists and clinicians, and support and train them in X-omics analyses and FAIR data management;
• Co-develop software, tooling, services, and Standard Operating Procedures (SOP) / policy around the FAIR capture, analysis and publication of data and metadata;
• Participation in national and international meetings and communities such as the X-omics infrastructure, the Dutch Techcentre for the Life Sciences, Europe's bioinformatics infrastructure ELIXIR, the European Joint Programme on Rare Diseases, RD-Connect;
• Work with the Radboud Technology Center Data Stewardship to optimize the DRE for the needs of handling -omics data.

• PhD in a relevant discipline (data science, biology, bioinformatics, computer science, artificial intelligence);
• Proven ability to develop new algorithms and / or methodology;
• Ability to drive scientific projects, as apparent from publication record;
• Excellent programming skills in a relevant language (python, R, Java, C++, …);
• Experience with data modelling and knowledge of formal data representations is preferred;
• Enjoying work in multidisciplinary teams;
• Excellent writing and verbal communication skills.

Upon 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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Radboudumc

The Center for Molecular and Biomolecular 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 candidate will particpate in a cross-departmental task force of data scientists dedicated to the analysis of X-omics data.

Radboudumc
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.

Read more about what it means to work at Radboudumc and how you can do your part.