Ontologist

As anOntologistatAstraZeneca you will playa central rolein making enterprise-wideMedicaldataready for advancedanalyticsandAIby designing building and evolving thesemantic layerthat connects and contextualises information across the organisation. Working closely withMedicalDataDigital and technical teams you will develop ontologies knowledgegraphsandAZsemantic standards that enable consistent interpretation integration and reuse of complex medical data at scale. This role will help transform fragmented data into a structured interoperable foundation that supports insight generation data-driven decision-making and innovative AI applications while promoting data quality consistency and governance across markets and therapeutic areas.

• Medical-commercial ontology design and development:Design and develop ontologies spanning HCPs KOLs accounts patient journeys indications brands campaigns channels scientific platforms congress activities and evidence tiers supporting consistent segmentation targeting scientific engagement tracking and performance measurement across markets.

• Medical-commercial engagement modelling:Create and maintain ontological patterns for MSL interactions KOL engagement medical content tagging claimreference linking consent preferences touchpoints and next-best-action enabling personalised scientific and promotional engagement attribution modelling MLR/PRC workflow support and integrated medical-commercial reporting.

• Standards interoperability and compliance:Apply external vocabularies and identifiers (e.g. NPIOneKey SNOMED CT ATCRxNorm MedDRAMeSH) within ontology models and incorporate privacy consent and regulatory semantics to support GDPR CCPA ABPI Code EFPIA Code and global policy requirements.

• Collaboration and stakeholder engagement:Work closely with Medical Affairs MSL teams brand teams analytics Martech architecture governance/assurance and data engineering to gather requirementsvalidateontology designs curate terminology and support adoption across business users and consumers.

• Governance and lifecycle support:Contribute to ontology versioning change management lineage documentation and quality assurance processes ensuring modelsremainaccurate consistent and aligned to enterprise standards.

Essential for the role

• Education:BachelorsorMasters degree in Information Science Computer Science Bioinformatics Data Science Life Sciences or a related field or equivalent professional experience.

• ExperienceDemonstrable experience in ontology development taxonomy design or semantic data modelling with evidence of contributing to or leading deliverables within a team setting.

• SemanticexpertiseExperience developing ontologies taxonomies controlled vocabularies or knowledge graphs within a structured delivery environment.

• Semantic technologies:Workingknowledge of RDF OWL SKOS SPARQL and graph-based knowledge representation.

• Data interoperability: Experience using semantic models to integrate and standardise data across multiple systems and sources.

• Stakeholder engagement: Ability to work across multiple stakeholder groups including architecture teams business users/consumers and governance/assurance functions.

• Domain knowledge:Understanding of pharmaceutical clinical scientific or healthcare data domains particularly where medical and commercial data intersect.

• Governance and standards:Experience applying data standards controlled terminology and governance practices to improve consistency and reuse.

• Communication:Ability to translate business needs into clear semantic solutions and explain ontology concepts to non-technical audiences.

• Ways of working:Experience working within multidisciplinary teams in agile or iterative delivery environments.

Desirable to have

• Industry experience:Experience working in pharmaceutical biotech or life sciences environments across medical and/or commercial functions.

• Tools:Familiarity with platforms such as ProtégéTopBraidMetaphactoryPoolPartyStardog Neo4j Veeva Vault/CRM metadata Informatica or Collibra.

• Standards:Exposure to terminologies such as SNOMED CT MedDRA LOINC ICDMeSH ATC WHO-DD or CDISC.

• AI and analytics:Understanding of how ontologies and semantic layers support analytics search and AI use cases.

• Data architecture:Familiarity with enterprise data platforms metadata management and data architecture principles.

What we offer:

Welcome toWarsaw Siteone of over 400 sites here at AstraZeneca providing a collaborative environment where everyone feels comfortable and able to be themselves is at the core of AstraZenecas priorities its important to us that you bring your full self to work every day.

To help you maintain your best self heres a sneak peek into some of the things this site provides for you:

• The best team to support you
• Multisport card
• Pension plan
• Life insurance
• after-work events
• private medical care
• lunch card
• bright and spacious environment
• sustainable office working environment.

Please note that we are working in a hybrid model of 3 days per week from the office in Warsaw