July 19, 2017

By Nuritas

Computational Biologist x 3

Computational Biologist/Bioinformaticians 

We are currently recruiting Computational Biologist/Bioinformaticians with an in-depth understanding of biological data and advanced experience in statistics, big data analysis (including machine learning), or other similar fields.


We have 3 roles to include the following responsibilities:


  • Integrate pathway analysis tools and machine learning techniques into existing data analysis workflows
  • Develop bioinformatics software tools, Interpreting and integrating large scale biological data
  • Build rigorous statistical models for ingredient discovery and validation workflow
  • Optimise and automate data extraction and integration
  • Propose an implement quality control and data quality monitoring procedures
  • Update job knowledge and remain current with advances in biology, computer science and bioinformatics

Qualifications & Experience

  • M.S. required (PhD preferred) in mathematics or computer science. Experience with biological data including any omics (extra degree in a biological field is appreciated).
  • 6+ years’ experience in biological software and algorithm development. Experience in artificial intelligence (including machine learning algorithms) or Equivalent combination of education, training, and experience that provides the individual with the required knowledge, skills, and abilities.
  • Candidates who were part of inventing/coding recognised publicly available bioinformatics or chemistry software are highly desired

Required Technical Skills

  • Algorithmic and Machine Learning techniques (examples include artificial neural networks, boosting, random forests, clustering…)
  • Programming: OOP and scripting in many languages (python is a big plus)
  • Statistics and R programming
  • An understanding of standard bioinformatics tools (protein databases, alignments…)


Role 1:

  • Strong background in molecular and cellular biology
  • Experienced in structural bioinformatics
  • Familiar with molecular dynamics simulations
  • Familiar with protein-protein interaction modelling and ligand-receptor interaction modelling in particular
  • Familiar with structural alignment techniques

Role 2:

  • Familiar with big biological data mining techniques
  • Experienced with high-throughput functional genomics data
  • Experienced with gene regulation mechanisms, gene expression and transcriptome data analysis
  • Experienced with high performance computing

Role 3:

  • Experienced in the analysis of complex biological systems such as molecular networks and signaling pathways
  • Experienced in the analysis of large-scale changes in cellular processes in response to external stimuli and alterations.
  • Experienced with big biological data mining
  • Familiar with standardized representations of biological data (BioPAX, SBGN)
  • Familiar with software tools to visualize and analyze biological networks


  • Hard worker
  • Ability to work on big projects as part of a team
  • Good organisation and optimisation of working environment
  • Ability to manage multiple projects and overlapping deadlines
  • Natural ability to problem-solve
  • Good communication skills, both written and verbal are required
  • Ability to communicate with experimental biologists, computer scientists and non-scientists

How to apply


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