Data Engineer / Data Scientist (w/m/d) — Solothurner Spitäler AG (soH)
NewCHF 62'000 - 94'000
Solothurner Spitäler AG (soH) · Solothurn (SO)
- Location
- Solothurn
- Contract
- part-time
- Posted
- Yesterday
SalaryCHF 62'000 - 94'000
Role overview
Tasks Tasks
- Development and implementation of automated and ad-hoc evaluations from different data sources
- Advising and supporting clinical and administrative disciplines in accessing and preparing and interpreting data
- Collaboration in the establishment and operation of a modern soH data platform in close cooperation with project management, AI transformation managers and integration and interface specialists
- Implementation of use cases on the data platform (e.g.
connection of data sources, data modeling, preparation and visualization of results or provision for advanced analytics / AI)
- Participation in the further development of company-wide data governance incl.
Definition and monitoring of KPIs on data quality, availability and use Profile Profile
- University degree in (medical) computer science, data engineering / data science or statistics (FH/uni) or medical education with corresponding further education in the field of data / statistics
- In-depth knowledge of data modeling – either
- technical (e.g.
MS SQL, PostgreSQL, Window Functions, Programming, Performance Optimization) or
- clinical (e.g.
openEHR, FHIR, LOINC, SNOMED, semantic interoperability)
- Experience in handling health data and hospital processes (e.g.
medicine, quality or research) or interest in statistical methods (e.g.
R, Python)
- Experience with KISIM, SAP, REDCap or Microsoft Azure / Fabric is a plus
- High sensitivity and sense of responsibility in the handling of personal data worthy of special protection according to the Data Protection Act (DSG), Human Research Act (HFG) as well as other relevant legal and internal requirements Contact details For questions about the office (reference 3345): Mr F.
Shabanaj Head of Digitalization & Transformation Tel: +41326273726 +41 (0)32 627 37 26 Mr S.
Strub Project manager +41 (0)32 627 34 12 Solothurn Spitäler AG (soH) runs three somatic hospitals (the Cantonal Hospital Olten, the Bürgerspital Solothurn and the Hospital Dornach) and the Psychiatric Services Solothurn.
It also offers decentralised services in the canton.
- Tasks
- Development and implementation of automated and ad-hoc evaluations from different data sources
Main responsibilities
- Tasks
- Development and implementation of automated and ad-hoc evaluations from different data sources
- Advising and supporting clinical and administrative disciplines in accessing and preparing and interpreting data
- Collaboration in the establishment and operation of a modern soH data platform in close cooperation with project management, AI transformation managers and integration and interface specialists
- Implementation of use cases on the data platform (e.g. connection of data sources, data modeling, preparation and visualization of results or provision for advanced analytics / AI)
- Participation in the further development of company-wide data governance incl.
- Definition and monitoring of KPIs on data quality, availability and use Profile Profile
- University degree in (medical) computer science, data engineering / data science or statistics (FH/uni) or medical education with corresponding further education in the field of data / statistics
- In-depth knowledge of data modeling – either
- technical (e.g.
Contacts
- Shabanaj Head of Digitalization & Transformation Tel: +41326273726 +41 (0)32 627 37 26 Mr S.
- Strub Project manager +41 (0)32 627 34 12 Solothurn Spitäler AG (soH) runs three somatic hospitals (the Cantonal Hospital Olten, the Bürgerspital Solothurn and the Hospital Dornach) and the Psychiatric Services Solothurn.
- It also offers decentralised services in the canton.
- In addition to the task of providing extended basic medical care to the population, the hospitals also have different focus areas.
- The credo applies: medically top, humanly close.
Additional details
- Experience in handling health data and hospital processes (e.g. medicine, quality or research) or interest in statistical methods (e.g.
Notes and original content
- Tasks Tasks
