Within the context of the Netherlands X-omics Initiative (coordinated by Alain van Gool, Radboudumc), we are looking for an ambitious bioinformatician, who develops data analysis and integration approaches for multi-omics (genome, transcriptome, proteome, metabolome) data from rare disease patients and population cohorts. As a bioinformatician, you will closely work with biomedical and clinical researchers from Radboudumc and X-omics partners and develop FAIR and reproducible knowledge-based data analysis workflows to investigate disease mechanisms. You are committed to the counselling and training of biomedical and clinical researchers in computational approaches. You 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 or population cohorts.
• 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 Netherlands X-omics infrastructure.

You have a MSc or PhD in a relevant discipline (data science, biology, bioinformatics, computer science, artificial intelligence) with proven ability to apply and develop bioinformatics tools and workflows. You are familiar with Linux, bash and git, and have programming skills in at least one relevant language (Python, R, Java, C++). You have experience with knowledge-based integration of multi-omics data. You know about FAIR data principles and have knowledge of domain-specific standards (e.g., HUPO-PSI open standard formats for proteomics). You are communicative, enjoy working in multidisciplinary teams and have a proven ability to drive scientific projects.

Fixed-term contract: 2 years with possible extension.

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together. We provide annual courses, both professional and personal.

• In addition to your monthly salary and an annual vacation allowance of 8%, you will receive an end-of-year bonus of 8.3%.
• If you work irregular hours, you will receive an allowance.
• As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
• Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
• You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.

In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC.

Radboudumc

The Centre for Molecular and Biomolecular Informatics (CMBI) is well known for the development of new computational approaches for the study of the gene and 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.

You will participate in a cross-departmental and cross-institutional task force of bioinformaticians and data stewards dedicated to the analysis of multi-omics data including researchers from the Human Genetics department and the Translational Metabolic Laboratory, as well as collaborators from the X-omics consortium.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc