Knowledge Engineer

vor 2 Monaten

Basel, Schweiz FLEXSIS Vollzeit
EINFÜHRUNG:
As a preferred supplier for in Basel, we are looking for an individual asKnowledge Engineer (m/f/d)This is a full-time position with a 2-year duration and possible extension. The earliest start date is as soon as possible and the latest is 01.10.2024. Home Office: possible, but at least one time onsite per week is a must.AUFGABENBESCHREIBUNG:
  • 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
  • Co-create robust solutions starting out from prototypes and MVPs
  • Drive automation of data and software services to achieve continuous delivery e.g. by setting up code repositories, automation pipelines, quality assurance, etc.

ERFORDERLICHES PROFIL:
  • Work experience of minimum 3 years 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 a plus. Any knowledge of data engineering and cloud skills is a plus
  • Background in data interoperability technologies, such as data integration, data standards and terminologies (e.g. FHIR, HL7v2, SNOMED or LOINC)
  • Good knowledge in (meta) data management approaches such as relational and graph databases
  • Strong stakeholder management and collaboration skills
  • Working independently in cross-functional and distributed teams
  • Ability to work in changing, agile, multinational and multiple location environment
  • Very good communication and presentation skills
  • Fluency in English

Nice to Have:

  • Experience in the pharmaceutical / medical device environment and in diagnostics is a plus


Application process Interested? You can find more information here:

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