Knowledge Graph and Semantic Engineer

Join our Operations IT team at AstraZeneca, where your work directly impacts patients by transforming our ability to develop life-changing medicines. We empower the business to perform at its peak, combining cutting-edge science with leading digital technology platforms and data. This is a dynamic and challenging environment, offering countless opportunities to learn and grow. Whether it's exploring new technologies in hackathons or transforming the roles and work of colleagues, this is your chance to be part of a team that innovates, disrupts an industry, and changes lives.

Accountabilities:

As a Knowledge Graph and Semantic Engineer, you will play a crucial role in developing and delivering semantic and graph-based solutions across our manufacturing, supply chain, and development functions. You will engineer robust and scalable ontology-driven knowledge models, build and query knowledge graphs, integrate structured and unstructured data, and apply semantic standards to enhance data interoperability. Collaborating closely with product teams and data engineers, you will bring semantic capabilities into real-world business applications. This is an opportunity to work at the forefront of semantic data technologies in the pharmaceutical industry—enabling FAIR data, accelerating AI use cases, and driving smarter digital operations.

Essential Skills/Experience:

- Hands-on experience with Neo4j, Cypher, and property graph modeling.
- Proficiency with RDF, OWL, SHACL, SPARQL, and other semantic web technologies.
- Strong Python skills with experience in data pipelines, REST APIs, and automation.
- Ability to translate business concepts into structured, ontology-driven knowledge models.
- End-to-end experience delivering graph or semantic data projects in production environments.
- Experience working in Agile teams and engaging with technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field (Master’s preferred).

Desirable Skills/Experience:

- Familiarity with tools like Protégé, VocBench, or TopBraid for ontology development.
- Exposure to graph-based AI/ML use cases such as embeddings, reasoning, or LLM integration.
- Understanding of data governance, metadata, and FAIR principles.
- Experience with industrial or manufacturing data from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of use case specific GenAI tools available in the market and their application in day-to-day work scenarios.
- Possess working knowledge of basic prompting techniques and continuously improve these skills.
- Stay up-to-date with developments in AI and GenAI, applying new insights to work-related situations.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZeneca, you'll be part of shaping the future of Operations as we journey towards our 2025 strategy. With a focus on high performance through agility, responsiveness, reliability, and efficiency, we aim to deliver new modalities and complex pipelines to market swiftly. Supported by a dedicated team, you'll accelerate operational excellence through innovations in cutting-edge science, Lean methodologies, and rapidly evolving digital technologies.

Ready to make a difference? Apply now to join our team and be part of something extraordinary!

Date Posted

26-jun-2025

Closing Date

16-jul-2025

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.