Within the context of the national large-scale X-omics research infrastructure (coordinated by prof. Alain van Gool, RadboudUMC), we are looking for an ambitious bioinformatician, who develops data analysis and integration approaches for large-scale -omics data and translates its outcome to biological insights. The candidate will work with preclinical and clinical scientists and fellow data scientists to analyse and interpret multi-omics data in the context of personalized health(care).

Tasks and responsibilities

• Develop and benchmark computational approaches for the analysis of multi-omics data.
• Be lead data scientist in the analysis of relevant multi-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 in multi-omics analyses and FAIR data stewardship.
• Co-develop software, tooling, services, and Standard Operating Procedures (SOP) / policies around the FAIR capture, analysis and publication of data, metadata and computational workflows.
• Work with the Radboud Technology Center Bioinformatics and Data Stewardship to optimize the handling of multi-omics data.
• Participation in national and international meetings and communities such as the Netherlands X-omics Initiative, Health-RI and European Research Infrastructures such as EATRIS and ELIXIR.

We are seeking a candidate who holds a PhD in a relevant discipline, such as bioinformatics, data science, biology, computer science, or artificial intelligence. The ideal candidate should have a proven ability to develop new algorithms and/or methodology, as well as the ability to drive scientific projects, as evidenced by their publication record. They should also possess excellent programming skills in a relevant language such as Python, R, Java, or C++. Experience with data modeling and knowledge of formal data representations would be preferred. Additionally, the ideal candidate should enjoy working in multidisciplinary teams and possess excellent writing and verbal communication skills.

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.

• A gross monthly salary between € 3.230 and € 5.088 (scale 10) based on full-time employment.
• An annual vacation allowance of 8% and 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.
• We provide annual courses, both professional and personal.

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

Within the Medical BioSciences deparment, the Bioinformatics Research Group led by Prof. Peter-Bram 't Hoen is well known for the development of new computational approaches for multi-omics data integration and for turning 'omics data into biomedical understanding. The group develops bioinformatics approaches that contribute to the understanding of (rare) disease mechanisms, personalized therapies and interventions, and a learning health care system. The group 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 particpate in a cross-departmental task force of data scientists dedicated to the analysis of multi-omics data. This include scientists in the department of Human Genetics and the Translational Metabolic Laboratory where molecular biomarkers of human health and disease are analysed using next generation sequencing, mass spectrometry and functional testing platforms. There, innovative genome research in multiple clinical areas is translated to scientific insights, laboratory diagnostics and genetic counseling in an integrated manner.

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