Sr. Knowledge Engineer at F. Hoffmann-La Roche Ltd - Poland

Sant Cugat del Vallès, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Data Architecting, HL7 FHIR, GitLab, JIRA, Confluence, IOT, Data Platforms, Web Services Architecture, SCRUM, Communication Skills, Team Collaboration, Cloud Technologies, Micro Services, Big Data Architectures, Clinical Terminologies, Healthcare Interfaces

Industry

Biotechnology Research

Description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Job position: Sr. Knowledge Engineer Area: Diagnostics - Roche Information Solutions (RIS) Department: Data, Analytics and Research, Data Science Technologies Reports to: Head of Knowledge Engineering and Data Modeling Location: Sant Cugat del Vallès At Roche, we are passionate about transforming patients’ lives and we are fearless in both decision and action - we believe that good business means a better world. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. As part of the larger Data, Analytics & Research function within Roche Information Solutions, you serve as a source of best practices/quality and work independently within broad guidelines and policies, needing guidance in only the most complex situations. You are responsible for leading substreams and/or you participate in cross-functional project teams to solve complex problems by using analytical thinking, tools and judgment to identify innovative solutions for Diagnostics. You seek feedback from all stakeholders and colleagues regularly and adapt your behavior quickly. You live the operating principles and follow the guidelines of making impact now and thinking long-term in your daily work. As Sr. Knowledge Engineer, you have a specialized depth and/or breadth of knowledge of FAIR, (semantic) data interoperability, healthcare ontologies, data models, terminologies and standards across digital products and systems within Diagnostics. You develop new approaches to complex problems pertinent to interoperability and standardization in healthcare. As a result, you may influence others to change their point of view and you may lead them to solve the problem. Sr. Knowledge Engineer will also be responsible for leading the design and implementation of the data assets to support the transactional operations and the massive data processing (Big Data) to support use cases in Roche Diagnostics. He/she will be in charge of improving and auditing the data architecture, carrying out data governance functions, so that FAIR and data quality standards are ensured. Job Purpose: You will be responsible for the interoperability enablement of RIS product portfolio by reusing, designing, implementing and maintaining data models (e.g. One Roche Data Model). You will ensure that these data models are aligned with the health data standards and policies defined. You will make sure robust data models and data access are available, and the information is correctly stored to enable the clinical and diagnostic use cases across RIS product portfolio on the data platform. You will design and develop domain data models based on the HL7 FHIR interoperability standard. You will work with Data Engineers, Software Engineers, Data Scientists, System Architects, Product Owners, Product Managers and guide them with their data needs and requirements. 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 data services. For example, design and model the One Roche Data Model for the data assets at conceptual and logical level, supporting the use cases. Collaborate with engineering and business teams and co-drive projects to implement interoperability standards for Roche devices and digital products adhering to FAIR principles. Support the design, implementation and evolution of the Roche Diabetes Care Platform Data Stores (physical data model) to ensure that all products are aligned with logical data models and coding standards. Work in cooperation with the system architect and development team members. 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. Supports and collaborates in the definition of the mapping to transform the data model into clinical interfaces, choosing the proper clinical standard and terminology to use. Maintains the data catalog well documented, updated and accessible for the different stakeholders. Defines the data quality processes & rules, data quality metrics and ensures quality is met Deliver effective training and communication on the data standards to multiple levels of stakeholders. Key skills and Experience: Required: BS degree in Engineering, Computer Science, Applied Math or other quantitative field. 5+ years relevant experience 2+ years of proven experience in data modeling, data architecting and databases storage design. Experience in HL7 / HL7 FHIR mandatory. Experience working with GitLab, JIRA and Confluence Experience in IOT, Data platforms and Data Hubs. Experience and good knowledge in web services architecture Experience managing globally distributed teams and 3rd party relationships Good understanding of SCRUM methodology Ability to work in a fast paced and changing environment Independent judgment and decision-making ability Good communication skills and excellent team collaboration Fluent in English (required) Preferred: Experience in Amazon Web Services or Cloud technologies Experience generating implementation guides for developers, clients and customers. Experience in micro services, integration, cloud and bigdata architectures, especially on AWS. Experience codifying clinical concepts with clinical terminologies (SNOMED CT, LOINC, UCUM, ICD9, ICD10). Experience modelling healthcare interfaces using standards (HL7 v2.x, HL7 FHIR, DICOM). DAMABook certification Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Responsibilities

As a Sr. Knowledge Engineer, you will lead the design and implementation of data assets to support transactional operations and massive data processing in Roche Diagnostics. You will ensure interoperability enablement of the RIS product portfolio by designing, implementing, and maintaining data models aligned with health data standards.