job details

Our client is a renowned pharmaceutical company and is looking for a Knowledge Engineer based in Basel, Switzerland.

The Knowledge Engineer will be part of the Data and Analytics team. The role is crucial to contribute towards a highly efficient environment to drive (semantic) data interoperability for the digital solutions. The role will also significantly contribute to elevating the data sources to the next level of quality, e.g. data products, by ensuring their physical, conceptual and semantic coherence, integrity and adherence to standards. With that, the role will contribute fundamentally to make data FAIR for the company.

Tasks & Responsibilities:

• Collaborate with various product teams to shape the development and integration of data models and standardization into the 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 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 digital products
• Drive 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 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.

Key Skills

• 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

Its a hybrid position where you need to go one day a week to the office.

It's an urgent position and we have a deadline to submit the candidates by 12th January Friday at 11:00 am.

If it's of interest to you then apply soon. I will be happy to speak with you to share more details regarding this position. In case if not this one, I will consider your profile for another suitable role for sure. I am happy to help you with your job search.

Good luck

Richa

 

Our client is a renowned pharmaceutical company and is looking for a Knowledge Engineer based in Basel, Switzerland.

The Knowledge Engineer will be part of the Data and Analytics team. The role is crucial to contribute towards a highly efficient environment to drive (semantic) data interoperability for the digital solutions. The role will also significantly contribute to elevating the data sources to the next level of quality, e.g. data products, by ensuring their physical, conceptual and semantic coherence, integrity and adherence to standards. With that, the role will contribute fundamentally to make data FAIR for the company.

Tasks & Responsibilities:

• Collaborate with various product teams to shape the development and integration of data models and standardization into the 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 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 digital products
• Drive 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 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.

Key Skills

• 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

Its a hybrid position where you need to go one day a week to the office.

It's an urgent position and we have a deadline to submit the candidates by 12th January Friday at 11:00 am.

If it's of interest to you then apply soon. I will be happy to speak with you to share more details regarding this position. In case if not this one, I will consider your profile for another suitable role for sure. I am happy to help you with your job search.

Good luck

Richa