Development of a statistical framework for integration and biomarker discovery in high dimensional and big data settings

SCK•CEN Mentor

Leys Natalie,, +32 (0)14 33 27 26

Expert group


Short project description

The last decades, development of high-throughput technologies such as next-generation sequencing, microarrays and large-scale proteomics has led to a paradigm shift in molecular biology. Where previously each gene was studied as a single entity, those new approaches allow to study an organism from a holistic point of view. The ultimate goal is to develop a systems biology approach integrating all those different data types, providing a global view through different molecular levels. Also the BioScience researchers of SCK•CEN are faced now more than ever with the complex integration of multiple omics data types, and correlating them with environmental or clinical parameters. Several ‘omics’ data sets are existing within the 3 biology units of SCK•CEN, but are not yet analyzed in an integrated way. A solid statistical expertise on how to implement such a data integration strategy is currently lacking at SCK•CEN, limiting  the depth of the information gained via our currently used multi-omics technology. A PostDoc with such expertise is essential to fill this knowledge gap. In this PostDoc project we aim the development of an approach and software pipeline for advanced omics data integration and bio statistical analysis, including biomarker discovery, tailored to the OMICS datasets generated at SCK•CEN, which will allow the team better data exploitation and valorization; and will keep the team up to date with current biosystems biology developments.

The minimum diploma level of the candidate needs to be


The candidate needs to have a background in

Biology , Bio-informatica, Bio-statistiek

Estimated duration

2 years
Before applying, please consult the guidelines for application for Post-doc.