Clinical Quality Data Manager au Service ORL et chirurgie cervico-faciale – Niveau Junior - 30% à 40% — HUG
CHF 51'100 - 77'500
HUG · Genève (GE)
- Location
- Genève
- Contract
- full-time
- Posted
- 10 days ago
SalaryCHF 51'100 - 77'500
Role overview
Mansioni You coordinate the development, adaptation and maintenance of data management systems, in collaboration with IT teams, to ensure reliable and usable data flows.
- You contribute to the continuous improvement of the tools and processes for data collection, management and structuring.
- You perform the statistical analyses necessary for clinical follow-up, reporting and service projects.
- You support medical, clinical and quality teams in interpreting and using data.
- You accompany the managers of the various professions of the service in their data, reporting and analysis needs.
- You participate in clinical, research and quality improvement projects by providing relevant data extractions and analyses.
- You coordinate the development, adaptation and maintenance of data management systems, in collaboration with IT teams, to ensure reliable and usable data flows.
- You contribute to the continuous improvement of the tools and processes for data collection, management and structuring.
Main responsibilities
- You coordinate the development, adaptation and maintenance of data management systems, in collaboration with IT teams, to ensure reliable and usable data flows.
- You contribute to the continuous improvement of the tools and processes for data collection, management and structuring.
- You perform the statistical analyses necessary for clinical follow-up, reporting and service projects.
- You support medical, clinical and quality teams in interpreting and using data.
- You accompany the managers of the various professions of the service in their data, reporting and analysis needs.
- You participate in clinical, research and quality improvement projects by providing relevant data extractions and analyses.
Additional details
- Mansioni You coordinate the development, adaptation and maintenance of data management systems, in collaboration with IT teams, to ensure reliable and usable data flows.
