Join our Operations IT group at AstraZeneca, where your work directly affects clients by changing our ability to establish life-altering medicines. We empower business to perform at its peak, combining innovative science with leading digital technology platforms and information. This is a dynamic and difficult environment, offering numerous chances to find out and grow. Whether it's checking out new technologies in hackathons or transforming the roles and work of associates, this is your opportunity to be part of a group that innovates, interferes with a market, and changes lives.
Accountabilities:
As a Knowledge Graph and Semantic Engineer, you will play a vital role in establishing and providing semantic and graph-based services across our production, supply chain, and advancement functions. You will engineer robust and scalable ontology-driven knowledge designs, develop and query knowledge graphs, incorporate structured and unstructured information, and apply semantic standards to improve data . Collaborating carefully with item teams and information engineers, you will bring semantic abilities into real-world service applications. This is an opportunity to operate at the forefront of semantic information technology innovations in the pharmaceutical industry-enabling FAIR information technology, speeding up AI use 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 technologies.
- Strong Python skills with experience in data pipelines, REST APIs, and automation.
- Ability to equate organization ideas into structured, ontology-driven knowledge designs.
- End-to-end experience delivering graph or semantic information tasks in production environments.
- Experience operating in Agile groups and engaging with technical and non-technical stakeholders.
- Bachelor's degree in Computer technology, Information Systems, Data Engineering, or associated field (Master's preferred).
Desirable Skills/Experience:
bing.com
- Familiarity with tools like Protégé, VocBench, or TopBraid for ontology development. - Exposure to graph-based AI/ML usage cases such as embeddings, thinking, or LLM integration.
- Understanding of information technology governance, metadata, and FAIR concepts.
- Experience with commercial or manufacturing information from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of usage case specific GenAI tools readily available in the market and their application in day-to-day work situations.
- Possess working understanding of basic prompting techniques and constantly improve these abilities.
- Stay updated with advancements in AI and GenAI, using brand-new insights to job-related situations.
When we put unanticipated teams in the same space, we unleash strong thinking with the power to motivate life-changing medicines. In-person working offers us the platform we require to connect, work at rate and difficulty understandings. That's why we work, typically, a minimum of 3 days per week from the workplace. But that does not suggest we're not versatile. We stabilize the expectation of remaining in the office while appreciating specific 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 technique. With a focus on high efficiency through dexterity, responsiveness, reliability, and efficiency, we aim to provide new techniques and complicated pipelines to market quickly. Supported by a dedicated group, you'll speed up functional excellence through developments in innovative science, Lean methods, and quickly developing digital innovations.
Ready to make a distinction? Apply now to join our team and be part of something extraordinary!
Date Posted
bing.com
Closing Date
AstraZeneca accepts diversity and equality of opportunity. We are devoted to developing an inclusive and diverse team representing all backgrounds, with as large a series of perspectives as possible, and utilizing 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 prospects, regardless of their characteristics. We abide by all suitable laws and policies on non-discrimination in employment (and recruitment), along with work authorization and work eligibility confirmation requirements.