Genomics Data Scientist (897396-GBA)

Location
Canton of Basel-Stadt (CH)
Salary
Negotiable
Posted
23 Apr 2021
Closes
23 May 2021
Hours
Full Time
Contract Type
Permanent
Experience Level
Experienced (non-manager)

Our client, an innovative and dynamic bio-pharmaceutical company headquartered in Switzerland, covering multiple therapeutic areas, committed into delivering products on the market over the next 5 years, is looking a Genomics Data Scientist for a permanent position based in Basel area.

The ideal candidate should have a PhD in Bioinformatics or Computational Biology, 5+ years postdoctoral experience applying advanced types of data analysis, experience working with multi-modal single cell and data, and proficiency using R, Python, Java and/or Shell programming languages.

 

Main Responsibilities:

  • Driving the exploration and validation of novel drug targets and/or biomarkers
  • Continuous improvement of analytical procedures; evaluation, validation and implementation of new tools and methodologies
  • Developing and constantly innovating the Translational Biomarker strategy
  • Documenting, reporting, and communicating results to the teams
  • Publishing, presenting, and discussing scientific results at international meetings; Be a representative of the Biomarker strategy towards an international expert audience
  • Developing standardized NGS analysis pipelines and workflows: Data storage, data management, data retrieval with queries, data visualization and biological data interpretation based on the biological questions
  • Effectively communicate project context and results with team members in the Translational Biomarkers, Biology and Pharmacology groups

 

 

Qualifications and Experience:

  • Relevant Swiss working/residency permit or Swiss/EU-Citizenship required.
  • A PhD in bioinformatics or any other relevant life sciences discipline with demonstrated experience in complex data analysis of omics data sets
  • Minimally 5 years postdoctoral experience of applying advanced types of data analysis, proven by a strong publication record or 2 years Industry experience
  • Strong experience with the processing and biological interpretation of sequencing data from different single cell technologies, including methods for full-length (e.g. SmartSeq2) and UMI-based (e.g. 10X Genomics’ Chromium, Drop-seq, InDrops) profiling. Experience in working with CyTOF data would be an asset
  • Demonstrated ability to test and/or develop new computational tools to draw relevant biological insight from bulk and single cell transcriptomic data with respect to target validation, compound mode of action and translatable biomarkers
  • Expert knowledge in omics information resources and more advanced pathway / biological network analysis
  • Background in computational analysis, experienced in statistical analysis with good scripting and programming skills (e.g. shell, R/bioconductor, Python, Java)
  • Full professional proficiency in English.

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