Careers - Bioinformatics scientist


The dry-lab team is composed of dedicated scientists and bioinformaticians working together to transform data into biological knowledge and scientific insights. To expand our team, we are looking for a motivated bioinformatics scientist with a critical mindset, who wants to take part in supporting customers in their development of diagnostics and therapeutics and help build Biogazelle’s service portfolio.

Function description

As a bioinformatics scientist you will support R&D projects by:

  • designing and developing novel tools for data analysis, interpretation, and visualization
  • incorporate novel ideas and strategies into our existing offer
  • monitor the current state of the field

The bioinformatics scientist plays an important role in our customer projects:

  • you are involved in scoping projects by translating the customer research question into relevant data analysis tasks
  • you are responsible for the preparation and follow up of the dry-lab activities within agreed timelines
  • you monitor the quality of the data and the bioinformatics processing within a project
  • you critically perform data analysis and interpret results
  • you communicate results to customers through reports and customer calls, you make suggestions for follow-up experiments, and propose customized data analyses
  • you share new insights with scientists (wet-lab and dry-lab) and bioinformaticians colleagues
  • you contribute to troubleshooting activities collaborating with wet-lab team members and project managers

As a bioinformatics scientist, you follow Biogazelle’s quality system, you work according to the internal lab standards (ISO 17025:2015, GCLP guidelines) and follow standard operating procedures (SOPs).

Competences and skills

Education & experience:

  • A master degree in bio-informatics, biotechnology, bio-engineering, biomedical science or related scientific fields. A PhD degree in any of these fields is a strong asset.


  • Good understanding of the biological mechanisms behind transcriptional responses
  • Experience with R (data mining & statistics) and other programming languages (Perl, Python).
  • Basic Linux knowledge for using bio-informatic tools on Linux servers
  • Good statistical knowledge
  • Experience with gene expression datasets (qPCR, microarrays and/or RNA-seq)
  • Experience in RNA-seq data analysis, pathway analysis, biomarker discovery and/or drug mode of action is an asset
  • Experience in massively parallel sequencing workflows for variant calling is a plus
  • Experience with computational deconvolution algorithms is a plus
  • A good view on and experience with computation tools in the field of immuno-oncology is a plus
  • Flexible mindset and quality driven spirit
  • Good communication skills
  • Solid problem-solving skills
  • Creative and innovative mentality
Our offer
  • A full-time position in a growing company with a young dynamic team
  • A competitive financial package according to your experience, extended with extralegal benefits
  • Professional development and training opportunities
  • You will work in an innovative and stimulating environment
How to apply?

Please send your motivation letter and CV to

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