Responsibilities: 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
Minimum Requirements: 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
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