Knowledge Engineer (m/f/d)
- Collaborate with various product teams to shape the development and integration of data models and standardization into the RIS product portfolio and enable FAIR (findable, accessible, interoperable, reusable) data services
- Collaborate with engineering and business teams and co-drive projects to implement interoperability standards for Roche devices and digital products adhering to FAIR principles
- Investigate innovative methods to generate new business insights from interlinked data sources (lab and clinical) that may mature into new features of RIS digital products
- Drive the adoption and integration of interoperability standards including terminological resources (e.g. FHIR, HL7v2, LOINC, SNOMED) for RIS digital products
- Engage with internal key customers and stakeholders to understand their business needs, pain points using a customer-centric approach
- Solid experience with data interoperability
- University Degree in Computer Science / Engineering related fields, preferably PhD degree (such as Software Engineering, Architecture, Data Science, Mathematics, Bioinformatics or similar areas of academic discipline)
- Strong software engineering skills and various programming languages such as Python, Java. Any knowledge of frontend programming languages such as Typescript, Angular, etc. is advantageous
- Any knowledge of data engineering and cloud skills is advantageous
- Background in data interoperability technologies, such as data integration, data standards and terminologies (e.g. FHIR, HL7v2, SNOMED or LOINC)
- Strong stakeholder management and collaboration skills
- Internal Career Opportunities
- Internatinal Environment
About the company