| Workplace | Radboud UMC |
|---|---|
| Closing date | 5 April 2023 |
| Location | Nijmegen, the Netherlands |
| Hours | 36 hours per week |
Job description
Within the context of the national large-scale X-omics research infrastructure (coordinated by Professor Alain van Gool, RadboudUMC), Radboudumc is 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.
Profile
Radboudumc is 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 modelling 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.
In summary
- 36 hours per week
- Fixed term
- 2 years, with possible extension
- Salary scale: 10
- Fulltime: min €3230 – max €5088 gross per month
- Apply by 5 April 2023
