Scientific Data Management and Analysis Technical Assistant - RM 4
Proposé par:
Disponible pour l’événement::
Lieu de travail:
Italy
Niveau de formation:
Type de poste:
Full-time, Remote
Nombre de postes:
1
Description de l’offre d’emploi
Responsibilities:
- performing data collection, collation, validation and analysis activities, including verifying data quality, for the scientific assessment;
- implementing tools for data collection (or integration) and analysis to support the work of units, panels, working groups and the scientific committee;
- assisting data providers for the delivery of data to the organization;
- supporting the development of a standardised framework for data management and analysis (process and procedures);
- supporting the development and maintenance of suitable technical environments for hosting the data management and analysis framework;
- defining, implementing and maintaining data management processes within the remit of his/her area of knowledge;
- managing contracts and procurements, including monitoring procedures.
Assignment: initial contract 2 months, with possibility of extensions. Expected duration of assignment 6 months.
Salary: approx. €2400 per month before taxes.
Work modalities: office work is required on at least 2 days per week. Remote work is possible for the remaining days.
Please send an English Europass template cv at eures@regione.marche.it - indicating in the subject line 'REF. 4 RM'.
Exigences professionnelles
Skills required:
- excellent knowledge of english (at least c1 level);
- at least 2 years of experience in evidence and data collection, management and statistical analysis in any of the following areas: chemistry, biology/environmental sciences, nutrition, food technology, engineering, maths and physics;
- experience in the use of statistical software and code development in r, python, knime or in sas;
- experience in writing scientific and/or technical documents (e.g. scientific publications, reports, project plans and reports, guidance documents);
- experience in and knowledge of chemical data collection and pesticides residues would be considered an asset;
- behavioural competencies: attention to details ; work with others ; focus on stakeholder needs ; analysis and problem solving ; act with ethics and integrity.
