World leader in the field of in vitro diagnostics for over 55 years, bioMérieux conceives, develops, produces and markets diagnostics solutions (systems, reagents, software and services) intended for clinical and industrial applications, which determine the origin of a disease or a contamination to improve the health of patients and insure consumer safety.
bioMérieux is present in 45 countries and serves more than 160 countries with the support of a large network of distributors. Its corporate headquarters are located in Marcy l’Etoile, near Lyon, in France.
Joining bioMérieux, is choosing to join an innovative company with a long term vision, committed to the service of public health and carried out with a humanistic corporate culture.
We look for candidates whose motivation is to invest in themselves, in the projects of the future, and to participate in a collective adventure led by a pioneering spirit.
We have the commitment to offer our collaborators a working environment which encourages team spirit, with priority given to training and development with international career opportunities.
Our Group offers numerous possibilities: so come and join the 11,200 bioMérieux employees who have already identified with these values!
Description du poste :
Structuration et conversion de la base de troubleshooting
- Analyser les contenus existants de troubleshooting
- Convertir ces contenus en articles Wiki structurés, conformes aux standards internes
- Harmoniser la terminologie, les structures documentaires et les métadonnées.
Adaptation documentaire à partir de la documentation de service
- Identifier les informations techniques clés issues des procédures de maintenance et de la documentation de service.
Transfert et adaptation de contenus vers une application client
- Analyser une application destinée à accompagner les clients dans leurs opérations de maintenance.
- Extraire, adapter et intégrer les contenus pertinents dans le Wiki interne
- Proposer des améliorations de contenu
Description du profil :
Qui êtes-vous?
- Étudiant(e) en Licence ou Master
- Excellentes capacités rédactionnelles en français et en anglais.
- Des notions en IA, structuration de données
