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Postdoc Computational Biology - Belgium  

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Posted on : 15 April 2017

Project Description

  • The Laboratory of Computational Biology at our company  is seeking a highly motivated Postdoc to study gene regulatory networks and the genomic regulatory code. 
  • Your goal will be to identify and model enhancers and promoters underlying cellular state transitions, by combining high-throughput transcriptomics and epigenomics data, including single-cell RNA-seq and single-cell ATAC-seq data generated in our lab.
  •  As model systems you can use human, mouse with a focus on the adult brain (ageing, neuro-degeneration) and cancer (therapy resistance). 
  • You will furthermore capitalize on recently developed technologies in the lab, including massively parallel enhancer-reporter assays, droplet microfluidics, single-cell chromatin accessibility assays, epigenomic profiling across inbred lines, and advanced machine learning, including deep learning. 
  • Depending on your background and interests, you can also perform wet-lab experiments, including the design and testing of synthetic enhancer sequences

  • We are seeking a highly motivated computational biologist. 
  • The successful candidate should have a Master’s degree and PhD in one of the following fields:Computer Science, Mathematics, Physics, (Bio-)Engineering or Bioinformatics
  • The successful candidate also has a good track record of publications from his/her PhD.
  • Programming and linux skills are a must. Experience with machine learning, deep learning, high-performance computing is a plus. 
  • Experience with transcriptomics, epigenomics, and gene regulatory networks are not required, but considered as a plus. Wet-lab experience is also a plus.
  • Fluency in written and spoken English is required.

We offer 
  • A stimulating international research environment
  • A renewable contract 
  • Competitive salary and benefits
  • Relocation support possible for international applicants