Job Description
Pharmaceutical Technology and Development (PT&D) is the organization that turns brilliant science into actual medicines that help millions of people. We work across the entire value chain, designing and delivering active ingredients, formulations and devices for new medicines and providing expert technical support to all AstraZeneca’s commercial drug substances and products to ensure we successfully supply medicines to patients. This is an exciting opportunity to be part of a growing capability within PT&D, focused on data. As an Associate Director Ontologist, you will be responsible for designing, implementing, and maintaining ontologies and taxonomies across PT&D. Collaborate with business and technology teams to drive improvements in the understanding and quality of our data. Join us in this role in our PT&D Governance team! AccountabilitiesThe role holder will execute the following accountabilities autonomously with limited supervisory oversight:Design, implement, and maintain ontologies and taxonomies to support data integration across PT&D. Collaborate with data scientists, chemists, and biologists to ensure ontologies meet cross-functional needs.Translate complex scientific and technical concepts into structured data formats for use in data models and real-time analytics tools. Collaborate with information architects and technical teams from other departments.Develop and promote standards for data interoperability to facilitate seamless data exchange and integration within PT&D, across AZ business functions, and with external partners.Ensure high data quality and consistency by implementing quality checks and validation rules for ontology-driven systems and processes.Use ontology development and data curation tools to design, build, maintain and present taxonomies, controlled vocabularies, and collections.Understanding of enterprise data modelling tools such as IDERA E/R Studio and data catalogue tools such as Collibra.
Responsibilities + Skills
Education
Undergraduate degree in Computer Science, Data Management or possibly subject area (R&D, Finance, HR etc) and cross-trained or equivalent number of years of experience.Technology Knowledge: familiarity with industry standard ontology concepts, including RDF, OWL, SKOS, SHACL.Use of at least one industry standard methodology and toolset such as RDF/GitHub, Protg, Semaphore and Neo4j.Proven interpersonal and communication skills to translate, promote, and embed Data Governance and Data Standards ensuring agreement across a large scale and diverse organization.
Experience