Ontologist/Semantic Data ArchitectThis role involves FAIRification of data and is part of the FAIR Data Services team. This role is responsible for defining opportunities to standardize common business and scientific vocabularies, and to convert both legacy and new datasets into semantically enriched data assets.Key Responsibilities:Support the translation of both legacy and new datasets into semantically enabled data models.Make Client research data more Findable, Accessible, Interoperable, and Reusable.Develop semantic ontologies and taxonomies to graph and harmonize research data.Collaborate with business partners, subject matter experts, and engineering teams.Educational Qualification: Bachelor's degree in Computer Science, Life Science, Information Systems, Computer Engineering or equivalent is preferred.Technical/functional Skills:Experience working in a life sciences or biopharmaceutical environment.Familiarity with data engineering patterns and pipeline tools and processes.Able to present work to diverse audiences.Able to lead, manage, inspire, and influence globally distributed and cross-functional teams.Experience working in an agile software development environment.Experience in representing and expressing information models.Experience in interpreting and translating Information models to semantic models.Experience with ontologies, taxonomies, RDF/OWL, SHACL, SPARQL, Knowledge Graphs, and related tools.Experience with graph databases and knowledge graph database tooling.Experience utilizing graph data in a machine learning environment.Working knowledge of databases, MDM, RDM, warehousing architecture, dimensional modelling, design patterns and strategy.Experience collaborating with cross functional teams.Must be proactive and self-driven, demonstrated initiative and be a logical thinker.Strong leadership, communication, collaboration skills with a track record of taking solution ownership.