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Knowledge Engineer

Location: Basel
Sector: Big Data
Job Type: contract
Salary: Negotiable
Reference: BBBH582930

Experis is the global leader in professional resourcing and project-based workforce solutions.

On behalf of our client, a leading global Pharmaceutical company based in Basel we are looking for a Knowledge Engineer for a long term contract opportunity in Basel.

The perfect candidate:
The perfect candidate has a University Degree in Data Science / Engineering and at least 3 years of experience of working with data interoperability preferably in the pharmaceutical / medical device environment. Also expertise in knowledge engineering, software engineering, data modeling, healthcare interoperability, data integration, semantic/graph technologies, data analytics and FAIR and project management are expected.
We are looking for a motivated and self-driven individual who is ready to come on-site at least one time a week.

General Information:

  • Start date: asap
  • Latest Start Date: 1.1.2024
  • Planned duration: 12months
  • Extension: possible and intended
  • Workplace: Basel
  • Workload: 100%
  • Remote/Home Office: possible, but at least one time onsite week is a must

Tasks & 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
  • 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.

Must Haves:

  • 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 skill
  • Fluency in English

Nice to Have:
* Experience in the pharmaceutical / medical device environment and in diagnostics is a plus

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23

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