- Masters in Bioinformatics, Computational Biology, Statistics, Computer Science, Genetics or equivalent, but a PhD degree is certainly a plus
- Detailed knowledge in Python and/or R
- Solid grasp of statistics
- Excellent organizational and time management skills
- Flexibility and ability to develop new skills
- Ability to work both independently and as a member of a team
- High-quality written and oral communication skills
- Use of high-performance computing clusters
- Experience in the analysis of single-cell RNA-Seq
- Experience in the analysis of spatial transcriptomics/proteomics data is a strong asset
- Development of ShinyApps
- Experience with data management of large-scale datasets
- Knowledge of cancer biology
- Duration: full-time contract of one year with the possibility for extensions.
- (Early) access to state-of-the-art technologies.
- A stimulating (international, multidisciplinary) research environment where quality, professionalism, and team spirit are encouraged.
- The ability to work on scientifically exceptional and high-impact, state-of-the-art projects.
- Possibility of hybrid working
- The opportunity to be part of a young and dynamic team and to provide a meaningful contribution to genetic and oncological research.
- The University of Leuven is one of the most innovative universities in Europe. Leuven is located 20 min. from Brussels, in the center of Europe
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Bioinformatician - Leuven, België - VIB
Beschrijving
Position summary
Applications are invited to join an exciting research program within the VIB Center for Cancer Biology ) led by the two directors D Lambrechts and JC Marine. The research will explore the molecular mechanisms of intra-tumour heterogeneity to provide insights into cell fate decisions, malignant stem cell renewal, treatment response, and resistance in cancer.
The position will involve the analysis of single-cell RNA-seq and spatial Omics (including multiplex proteomics and transcriptomics data) through the application of best-practice bioinformatics workflows. The position will require a highly motivated bioinformatician or computational biologist to provide support for a variety of projects in Cancer biology. The role requires competency in programming languages such as Python and/or R and will involve working on a high-performance computing cluster. The individual will collaborate very closely with other bioinformaticians, and cancer cell and molecular biologists to work on joint initiatives.
The position will be initially for a fixed term of 12 months with the opportunity to extend. Remuneration will be commensurate with qualifications and experience.
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