Jobbet "Part time data specialist (eg. student) for data analysis - DTU Food" er udløbet.
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We are looking for a part time employee to help in different tasks related to analysis and reporting of chemical data to the European Food Safety Authority (EFSA). Moreover, it is also a possibility the involvement of the candidate in projects funded by EFSA in relation to the coordination and development of different tools used for quality check and transformation of national data into EFSA specific code.

The job
The Danish Veterinary and Food Administration (FVST) performs national monitoring campaigns for different chemicals such as pesticides, antibiotics and contaminants in food products. The data produced is encoded in a national coding system, which needs to be transformed into the EFSA format, called SSD2 format. For this task, a program developed in-house in SAS is able to extract data from the FVST databases, transformation into SSD2 format and quality check based on the different EFSA business rules. The data produced is then used for different reports such as quarter and annual reports in the case of pesticides. The translation from the Danish format into the SSD2 format is made with a high number of catalogues, which need to be constantly updated with materials supported by EFSA. The update of the catalogues is currently done by hand and hence it is high labour intensive. The objectives of this job is:

  •  The improvement of the current system with the creation of automated tools that substitute manual work.
  • Creation of tools that flag when a catalogue has been updated by EFSA.
  • Development of tools for better accessibility and visualization of data to be used by risk assessors in the FOOD institute.
  • Help in the development and adaption of European tools into the Danish system.

Our expectations of you
We are looking for a part time employee - for instance a student at the end of their education, or recently graduated, in the field of data science or equivalent.  We expect you to be proactive, be able to work autonomously and skilled in analysis of large datasets. It is a positive factor to have practical experience in the analysis of data with tools such as KNIME, Python or, preferably, SAS.  You will be working in close collaboration with colleagues working in the field of data reporting, involved in the improvement and development of in-house systems for this specific task. 

What we offer in return
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment where you will have the opportunity to test and develop your technical skills. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 2 years.

Application and contact
Please submit your online application no later than Friday, 9 June 2023. Open the “Apply now” link, fill out the form and attach your motivated application, CV and exam certificates. If you would like additional information about the position, please contact special consultant Daniel Bernardo Garcia Jorgensen,, +45 93 51 01 69 or head of Academic Support Dorte Lau Baggesen,, +45 25 47 78 48. Applications received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

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