Join our Operations IT group at AstraZeneca, where your work directly impacts patients by transforming our ability to establish life-altering medicines. We empower the service to perform at its peak, combining advanced science with leading digital innovation platforms and data. This is a dynamic and tough environment, offering countless chances to discover and grow. Whether it's exploring brand-new innovations in hackathons or transforming the functions and work of coworkers, this is your chance to be part of a team that innovates, interferes with an industry, and modifications lives.
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As an Understanding Graph and Semantic Engineer, you will play an essential function in establishing and providing semantic and graph-based options throughout our manufacturing, supply chain, and advancement functions. You will engineer robust and scalable ontology-driven knowledge designs, construct and query knowledge graphs, integrate structured and disorganized data, and use semantic requirements to improve data interoperability. Collaborating carefully with product groups and data engineers, you will bring semantic abilities into real-world service applications. This is a chance to work at the leading edge of semantic data innovations in the pharmaceutical industry-enabling FAIR data, speeding up AI utilize cases, and driving smarter digital operations.
Essential Skills/Experience:
- Hands-on experience with Neo4j, Cypher, and home chart modeling.
- Proficiency with RDF, OWL, SHACL, SPARQL, and other semantic web innovations.
- Strong Python skills with experience in data pipelines, REST APIs, and automation.
- Ability to translate organization principles into structured, ontology-driven knowledge models.
- End-to-end experience providing chart or semantic information technology jobs in production environments.
- Experience working in Agile groups and engaging with technical and non-technical stakeholders.
- Bachelor's degree in Computer Science, information technology Systems, Data Engineering, or associated 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, thinking, or LLM integration.
- Understanding of information technology governance, metadata, and FAIR principles.
- Experience with commercial or producing 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 everyday work circumstances.
- Possess working knowledge of standard triggering techniques and continually enhance these skills.
- Stay updated with advancements in AI and GenAI, using brand-new insights to work-related circumstances.
When we put unforeseen groups in the very same space, we let loose vibrant thinking with the power to motivate life-changing medicines. In-person working offers us the platform we need to link, work at pace and . That's why we work, on average, a minimum of 3 days each week from the office. But that doesn't suggest we're not flexible. We stabilize the expectation of being in the workplace while appreciating individual versatility. 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 technique. With a concentrate on high efficiency through dexterity, responsiveness, reliability, and performance, we intend to deliver brand-new techniques and intricate pipelines to market quickly. Supported by a dedicated team, you'll accelerate functional excellence through innovations in innovative science, Lean methodologies, and quickly developing digital innovations.
Ready to make a difference? Apply now to join our team and be part of something amazing!
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AstraZeneca welcomes diversity and equality of chance. We are committed to building an inclusive and diverse group representing all backgrounds, with as broad a variety of viewpoints as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the much better our work will be. We welcome and think about applications to join our team from all qualified prospects, no matter their qualities. We adhere to all applicable laws and policies on non-discrimination in employment (and recruitment), as well as work authorization and work eligibility verification requirements.