INT-057873
Knowledge Engineer (m/f/d)
Basel
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Pharmaceutical / Biotechnology / Chemical
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Temporary full time
As a preferred supplier for in Basel, we are looking for an individual as
Knowledge 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.
Description of the mission
- 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.
Required profile
- 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: Infopackage. Please apply via the "Bewerben" button below and answer all questions, otherwise we will be unable to process your application. Please upload your CV in English or German only, along with your degree certificate and latest reference letter.
Your contact
- home FLEXSIS - IT RECRUITMENT
- personJie Zhu
- quick_reference_allReference: INT-057873
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