Within the context of 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 multi-omics (genome, transcriptome, proteome, metabolome) data from rare disease patients. The candidate will closely work with clinical researchers from several European Reference Networks (ERNs) and develop improved diagnostic routines, approaches for detecting genetic and environmental modifiers of disease, and drug repurposing strategies. The candidate is committed to the counselling and training of biomedical and clinical researchers in 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 multi-omics data;
- Lead scientist in the analysis of relevant multi-omics data sets from rare disease patients;
- Advise and support biomedical scientists and clinicians in multi-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 European Joint Programme on Rare Diseases,
- RD-Connect, Europe’s bioinformatics infrastructure ELIXIR, the Dutch X-omics infrastructure.
- PhD in a relevant discipline (data science, biology, bioinformatics, computer science, artificial intelligence);
- Proven ability to develop new algorithms and / or methodology;
- Programming skills in a relevant language (python, R, Java, C++, …);
- Ability to drive scientific projects, as apparent from publication record;
- Enjoying work in multidisciplinary teams;
- Excellent writing and verbal communication skills.
EMPLOYER – 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 multi-omics data including researchers from the Human Genetics department, the Translational Metabolic Laboratory.