Ontology and Knowledge Graph AI expert (m/w/d) at IQVIA

The role

• The ontology and Knowledge Graph AI expert will be responsible for the development of novel effective products that can capitalise on ontologies, data and technology integration to advance the state of the art of semantic interoperability within IQVIA and across the industry, through direct and indirect engagement with our customers.
• The role will interface with multiple teams within the company, including, but not limited to: NLP, ETL, Data Science, Graph Analytics, Data Governance, Engineering.

In this senior key role, you will be expected to:

• Support client development and including ontologies as part of broader proposals and solution architecture
• Be the recognised expert and go-to person for applications of AI and ML to medical ontologies and KGs.
• Collaborate with teams across the company to develop and implement novel approaches to support ontology mapping and maintenance.
• Supervise operational resources implementing ontology-based platforms.
• Create value (internally and to customers) via the application of advanced methodologies for knowledge engineering.
• Engage across the whole data solution life cycle, from engagement to execution and delivery.
• Contribute to the definition and execution of the ontology and KG strategy in IQVIA.

Your profile

• You are a subject matter expert in ontologies and AI with a will to drive innovation and make an impact in the real world. You are curious and strive to keep abreast of most current developments and you can combine depth of knowledge with pragmatism in execution.
• You are comfortable working as an individual contributor, team player or supervisor. A good communicator, you thrive in a fast-paced collaborative, distributed, multi-cultural, and dynamic environment.

Requirements:

Must Have

• An advanced degree in Computer Science, medical informatics, or related subject with significant professional experience
• Experienced in at least one of the following: link prediction, ontology matching, ontology repair, graph embeddings.
• Working experience in some of: Data Management, Information and Data Strategy, Data Office Organization, Data Governance, Architecture & Semantics, Ontology Design, Master Data Management and Metadata Management
• Demonstrated experience in developing technical solutions based on ontologies
• Demonstrated experience in building ontologies and/or knowledge graphs
• Proficient with ontology related languages (e.g.: OWL, RDF) and technologies (e.g.: Protégé, Jena).
• Ability to collaborate cross-functionally with internal teams, and/or experience in consulting
• Experience in Big Data ETL projects: knowledge of the process and data flow from the ETL, curation, enrichment, etc.
• Generalist knowledge of NLP and ML with deep expertise in some area of competence
• Eagerness to learn more and stay up to date with industry best practices
• Proficiency in English

Preferred

• Experience in the healthcare and life sciences data ecosystem
• Knowledge of healthcare data standards and ontologies (e.g.: HL7, FHIR, DICOM, OpenEHR, OMOP, i2b2, ISO13606, ICD-10, LOINC, SNOMED-CT, GO, HPO, etc.)
• Experience with graph databases, triple stores, and graph query languages (e. g. Neo4J, Stardog, Cypher, SPARQL, Gremlin).
• Hands on experience with NLP, Data Mining, Knowledge Engineering (entity recognition and linking).
• Good knowledge of software, application design and architecture best practices
• Knowledge of modern data architectures and engineering principles, including Data Lakes, Data Hubs, Big Data Engineering, ETL / Data Integration, Data Streams/Event Driven Architecture, Business Intelligence and Advanced Analytics on various platforms and technology stacks – RDBMS, NoSQL, Graph - On-Prem, Hybrid and Cloud (Azure), DevOps, Serverless.

Nice-to have

• Experience on public tenders & commercial proposals development
• Experience in change management, awareness, training
• Experience with managing cross-functional projects