Data modelling Analyst at Wageningen University and Research

Wageningen University & Research seeks a Data modelling analyst who wants to help to solve impactful problems in the food safety domain.

The school is offering an interesting and dynamic position as a modelling scientist, covering different food safety topics, within a team of highly-skilled, enthusiastic, multicultural, and engaged colleagues. Above all, they offer candidates the environment to develop their skills and learn from the best.

Tasks

In the tasks for this position, applicants will:

  • be part of the research group that investigates the impacts of the global and societal changes on food safety in the food supply chain.
  • contribute to the development and implementation of methods for risk-based food safety monitoring, decision support, and monitoring tools to predict and prioritize known and unknown hazards in the food supply chain.
  • use a variety of modelling approaches whereby using different datasets to develop quantitative prediction models.
  • work in different ongoing research projects involving kinetic, biological, and simulation modelling. 
  • also contribute to the writing of new project proposals and of scientific publications. And
  • help to answer scientific questions and provide insights to food safety authorities and other stakeholders we work with.

Salary

the Data modelling analyst position offers;

  • a competitive gross salary of between €2908 and €4624;
  • working hours that can be discussed and arranged so that they allow for the best possible work-life balance;
  • the option to accrue additional compensation hours by working more, up to 40 hours per week;
  • sabbatical leave, study leave, and partially paid parental leave;
  • there is a strong focus on vitality and you can make use of the sports facilities available on
  • campus for a small fee;
  • a fixed December bonus of 4%;
  • excellent pension scheme.
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Job Requirements

For the data modelling analyst position, seek:

  • Expertise in quantitative analyses of complex data originating from different sources
  • An applicant with a relevant MSc or PhD in for example food science, computer science, data science, statistical modelling, industrial engineering or any other relevant background.
  • Expertise in simulation, biological and/or kinetic modelling  
  • Experience with Excel incl @RISK, Python, R
  • Affinity with food production and food safety, understanding of the food production chain is a plus.
  • Good communication skills in English (C1 level), both written and verbally, and the ability to work in multi-disciplinary teams and projects.
  • Solid scientific basis with the ability to identify relevant issues and formulate practical recommendations and solutions.
  • Good scientific writing skills, with a proven track record.

Application Process

To apply as a Data modelling analyst, click here

Application Deadline: Unspecified

For more information on Data modelling analysts, visit the official site.

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