Join our Operations IT group at AstraZeneca, where your work directly affects patients by transforming our ability to develop life-altering medicines. We empower the company to perform at its peak, combining advanced science with leading digital technology platforms and data. This is a dynamic and challenging environment, using many opportunities to discover and grow. Whether it's checking out new technologies in hackathons or transforming the functions and work of associates, this is your chance to be part of a group that innovates, interrupts an industry, and changes lives.
Accountabilities:
As an Understanding Graph and Semantic Engineer, you will play a crucial role in developing and providing semantic and graph-based solutions across our manufacturing, supply chain, and advancement functions. You will craft robust and scalable ontology-driven understanding designs, build and query knowledge charts, integrate structured and disorganized information, and apply semantic standards to enhance information 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 innovations in the pharmaceutical industry-enabling FAIR data, accelerating AI utilize cases, and driving smarter digital operations.
Essential Skills/Experience:
- Hands-on experience with Neo4j, Cypher, and residential or commercial property chart 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 company ideas into structured, ontology-driven knowledge models.
- End-to-end experience delivering chart or semantic data jobs in production environments.
- Experience operating in Agile teams and engaging with technical and non-technical stakeholders.
- Bachelor's degree in Computer technology, information technology Systems, Data Engineering, or associated field (Master's chosen).
Desirable Skills/Experience:
- Familiarity with tools like Protégé, VocBench, or TopBraid for ontology development.
- Exposure to graph-based AI/ML usage cases such as embeddings, reasoning, or LLM integration.
- Understanding of data governance, metadata, and FAIR concepts.
- Experience with industrial or manufacturing information from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of use case specific GenAI tools offered in the market and their application in day-to-day work scenarios.
- Possess working understanding of basic triggering techniques and constantly improve these abilities.
- Stay current with developments in AI and GenAI, applying brand-new insights to work-related situations.
When we put unforeseen groups in the exact same room, we unleash bold thinking with the power to influence life-changing medicines. In-person working gives us the platform we need to connect, operate at pace and obstacle understandings. That's why we work, on average, a minimum of 3 days per week from the workplace. But that does not mean we're not flexible. We stabilize the expectation of remaining in the office while appreciating specific flexibility. Join us in our special and ambitious world.
At AstraZeneca, you'll be part of forming the future of Operations as we journey towards our 2025 strategy. With a focus on high efficiency through agility, responsiveness, reliability, and efficiency, we aim to provide new methods and complex pipelines to market swiftly. Supported by a dedicated team, you'll accelerate operational quality through developments in cutting-edge science, Lean methods, and rapidly progressing digital innovations.
Ready to make a distinction? Apply now to join our team and belong to something extraordinary!
Date Posted
Closing Date
AstraZeneca accepts diversity and equality of chance. We are to building an inclusive and varied team representing all backgrounds, with as wide a variety of point of views as possible, and harnessing industry-leading abilities. Our company believe that the more inclusive we are, the much better our work will be. We invite and think about applications to join our group from all qualified candidates, no matter their qualities. We abide by all appropriate laws and policies on non-discrimination in employment (and recruitment), along with work authorization and employment eligibility confirmation requirements.
