Knowledge Engineer

vor 1 Woche

Basel, Basel-Stadt, Schweiz Randstad Vollzeit
Job Description

Our client, a reputable pharmaceutical company, is seeking a Knowledge Engineer located in Basel, Switzerland.

The Knowledge Engineer will join the Data and Analytics team. This role is essential for cultivating a highly efficient environment aimed at enhancing (semantic) data interoperability for digital solutions. Additionally, the position will play a key role in advancing the quality of data sources, such as data products, by ensuring their physical, conceptual, and semantic coherence, integrity, and compliance with standards. Ultimately, this role will be crucial in making data FAIR (findable, accessible, interoperable, reusable) for the company.

Tasks & Responsibilities:

  • Work collaboratively with various product teams to influence the development and integration of data models and standardization into the product portfolio, enabling FAIR data services
  • Collaborate with engineering and business teams to co-lead projects implementing interoperability standards for devices and digital products while adhering to FAIR principles
  • Explore innovative methods to extract new business insights from interconnected data sources (lab and clinical) that could evolve into new features of digital products
  • Promote the adoption and integration of interoperability standards, including terminological resources (e.g., FHIR, HL7v2, LOINC, SNOMED) for digital products
  • Engage with internal key customers and stakeholders to grasp their business requirements and challenges using a customer-centric approach
  • Participate in developing solid solutions starting from prototypes and MVPs
  • Automate data and software services to achieve continuous delivery (e.g., establishing code repositories, automation pipelines, quality assurance, etc.)

Key Skills:

  • Minimum 3 years of work experience in data interoperability
  • University Degree in Computer Science / Engineering or related fields, preferably a PhD degree (e.g., Software Engineering, Architecture, Data Science, Mathematics, Bioinformatics, or similar academic disciplines)
  • Strong software engineering skills with proficiency in various programming languages such as Python, Java. Knowledge of frontend programming languages like Typescript, Angular, etc., and data engineering and cloud skills are advantageous
  • Background in data interoperability technologies, such as data integration, data standards, and terminologies (e.g., FHIR, HL7v2, SNOMED, or LOINC)
  • Understanding of (meta)data management approaches including relational and graph databases
  • Excellent stakeholder management and collaboration abilities
  • Ability to work independently in cross-functional and distributed teams
  • Experience working in a dynamic, agile, multinational, and diverse environment
  • Exceptional communication and presentation skills
  • Fluency in English

This is a hybrid role requiring one day per week in the office.

You have until January 12th, Friday at 11:00 am to apply for this position.

If you find this opportunity intriguing, feel free to submit your application soon. I am willing to provide more details about the role. If this isn't the right fit, I will consider you for other suitable roles. I am here to support you in your job search.

Best of luck,

Richa

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