02 October 2020

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For more information please contact Mrs. Ingrid Arijs, tel.: +32 16 37 74 61, mail: can apply for this job no later than November 15, 2020 via the online application tool

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Ref. BAP-2020-700

Apply before 15 November 2020

The Laboratory for Translational Genetics, headed by Diether Lambrechts, and part of the Department of Human Genetics, aspires to tackle important questions in oncology by translating genome-scale data sets into clinically applicable knowledge.

The general objective of the lab is to leverage the genetic and epigenetic an-notation of tumors and thereby improve cancer prevention, diagnosis, prognosis and therapy. Investigations are based on the application of cutting-edge genetic sequencing technologies and advanced bioinformatics, and the seamless integration of genomic data sets with clin-ical and fundamental biological information. To achieve their goals, the lab relies on experimental models of human cancer, the collection of tumor and liquid biopsies within clinical trials and the application of advanced high-throughput and single-cell sequencing technologies.

The Laboratory for Translational Genetics is also one of the research groups within the VIB Center for Cancer Biology (CCB). VIB is an exciting, interdisciplinary research institute with excellent facilities and leading research groups in e.g. oncology, genetics/-omics, molecular biology and translational research. The VIB Center for Cancer Biology (CCB) is one of the research departments of VIB at KU Leuven and is located at Campus Gasthuisberg, Leuven. CCB hosts 11 research groups and 1 Metabolomics Core facility, with an employment of about 200 researchers, administrative and technical collaborators. The focus of the Center is to unravel the molecular basis of cancer, and whenever suitable, exploit these insights to develop novel therapeutic or diagnostic strategies. The Center uses state-of-the-art high throughput sequencing and metabolomics technologies to characterize tumor samples.

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The candidate will perform informatics to solve biological questions and will be involved in:

  • Building and applying bioinformatics pipelines in order to analyze high-throughput sequencing data such as whole-genome, whole-exome, methylation, RNA data, and single-cell (sc) sequencing data from the newest single-cell multi-omics technologies (scRNA-seq, ATAC-seq, DNA-seq, CITE-seq, CROP-seq and spatial profiling).
  • Guiding biologists in analyzing their own data and performing statistical tests and pathway analysis;
  • Exploring public available databases;
  • Working with and managing big data;
  • The creative visualization of the results;
  • Using and maintaining high performance computing clusters.
  • You have obtained a Masters degree in bioengineering, computer science, (bio)informatics, mathematics or related field;
  • You have good communication skills and can work easily together with other (international) team members;
  • You have a passion for bioinformatics and the motivation to work on innovative and ambitious projects in an open, dynamic and skilled research team;
  • You have experience with Linux systems, bash, R, and statistics;
  • Experience with high-performance computing, (multivariate) statistics, data analysis, Bayesian statistics, machine learning, data visualization and big data management are an important asset;
  • Knowledge of Linux, databases, BioConductor, Python or related programming languages and basic system administration skills are considered a plus;
  • Fluency in written and spoken English is required.