Scientific Data Management and Analysis Assistant
Pubblicato il 02-10-2026 - Randstad Filiale di Latina in Parma
Functieomschrijving
Controlli attentamente tutta la documentazione richiesta per la candidatura prima di fare clic sul pulsante apposito in fondo a questa descrizione.
Would you be interested in joining the European Food Safety Authority (EFSA) as aninterim via Randstad Italia? If you have a good proficiency in English and previousexperience in scientific data management, this could be your chance to work in amulticultural and dynamic environment.
We are looking for a Scientific Data Management and Analysis Assistant to work in theIDATA Unit.
EFSA is committed to supporting the careers of people with visible and invisibledisabilities that are encouraged to apply to Randstad open positions to be deployed atEFSA. The purpose of EFSA is to be globally accessible to any person regardless oftheir age, gender, culture, or ability, to foster the greatest degree of independence.
Responsabilità
The candidate will be working within the IDATA Unit providing support on the analysisand assessment of scientific data relevant to processes in EFSA. In particular, thecandidate will support the:
- Extraction, analysis and presentation of scientific data;
- Creation and maintenance of databases;
- Integration of data from multiple sources
- Development and optimization of pipelines to automate data validation,
- transformation and migration;
- Presentation of findings to both technical and non-technical stakeholders throughreports and dashboards, oral presentations, or written communications.
Functie-eisen
Essential requirements:
- Excellent knowledge of English (C1 level);
- Degree in Data Science, Computer Science, Information Technology,Bioinformatics or related fields;
- At least 1 year of proven experience in evidence and data collection,management and analysis, including developing and maintaining data processingpipelines;
- Advanced Python programming skills;
- Basic knowledge of version control systems, e.g. Git;
- Experience with structured / machine-readable data exchange f