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Data Scientist - Belgium  

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Posted on : 08 March 2017

Project Description

  • Our company  is a leading institute in plant sciences. 
  • PSB has invested significantly in the development and operation of automated, high-throughput plant phenotyping systems to support plant research within the institute and in collaboration with external partners (plant_phenotyping). 
  • The Systems Biology of Yield group of Prof. Dirk Inzé is currently looking for a highly motivated data scientist to assist in the analysis of plant phenotyping data and the development of data analysis and management pipelines.
  •  Importantly, the position requires an interest in both plant growth, development and physiology, and in data analysis beyond the use of MsS Excel spreadsheets. 

  • Phenotyping data analysis, including running of image analysis scripts, data quality checks, and analysis and interpretation of results 
  • Contribute to the development of data analysis methods
  • Preparation of data analysis scripts for their incorporation in automated analysis pipelines in the phenotyping platforms-associated web interface and database in collaboration with the ICT-developer
  • Take an interest in plant phenotyping and in the management of plant phenotyping platforms and experiments
  • Contribute to the insurance of 'good phenotyping practices' at all times

  •  Master degree in Bioscience engineering, Biology or a related field, with a clear interest and skills in data analysis
  • Ddemonstrated skills in the use of R; part of the selection procedure will involve a practical test in R script running and development
  • Experience in image analysis, and in the development (programming) of image analysis methods, is an asset
  • Experience in plant phenotyping is considered advantageous
  • Good analytical thinking, a critical mind set, scientific rigour
  • Problem-solving, positive and hands-on-mentality
  • Motivated and committed, ability to perform under pressure
  • Proficiency in spoken and written English

We offer
  • Excellent research infrastructure in an international scientific environment with great opportunities for further development of professional skills
  • Full time employment for 1 year, with the potential to be extended based upon evaluation
  • The earliest start date for the selected candidate is 3rd April 2017 (or upon agreement)