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Glossary > Bioinformatics Scientist

Role Purpose

Usually part of an Trait team, this scientist is responsible for developing scripts/pipelines/algorithms, conducting independent data analysis and data mining, as well as understanding and improving current bioinformatics tools and processes. Candidate will have the opportunity to develop novel strategies and exploit novel data sets.

Typical Work Activities

  • Understand the research questions from experimental biologists and formulate relevant in silico analyses
  • Critically analyze a wide variety of experimental and computational data with a view to solving the underlying research questions.
  • Generate hypotheses from in silico analyses and evaluate the errors and gaps in the evidences supporting the hypotheses
  • Identify and generate datasets for scientific testing and evaluation of algorithms developed within the group
  • Take forward data sets from their raw format to establishing proof of concept single handedly.

Educational Requirements

  • MS in Molecular Biology and/or Bioinformatics with 7 years experience in Bioinformatics, PhD with 2 years experience or BS with > 10 years experience. Computer Science degrees with the related amount of experience in a biological field may be considered

Knowledge, Skills and Experience

  • Must be proficient with Unix OS and have experience in the command line use of various bioinformatics applications
  • Strong skills with Perl and/or other scripting/programming languages
  • Demonstrated skills in performing batch analyses, parsing and interpreting results for trait scientists
  • Knowledge of molecular biology/genomics, experience analyzing experimental data and capability to define requirements of scientists
  • Understanding of statistical analysis methods used in data analysis
  • Experience in one or more areas of next generation sequence analysis, genome sequence assembly and annotation, profiling data and statistical analysis, data integration, proteomics, genomics or systems biology
  • Support of bioinformatics applications
  • SQL and knowledge of database design
  • Experience in agricultural biotechnology or plant sciences
 

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