Join our Operations IT group at AstraZeneca, where your work straight affects clients by changing our capability to develop life-changing medications. We empower the business to perform at its peak, combining advanced science with leading digital innovation platforms and data. This is a dynamic and tough environment, offering many opportunities to learn and grow. Whether it's exploring new technologies in hackathons or transforming the roles and work of colleagues, this is your opportunity to be part of a group that innovates, interferes with an industry, and modifications lives.

Accountabilities:

As an Understanding Graph and Semantic Engineer, you will play a crucial function in developing and providing semantic and graph-based solutions across our manufacturing, supply chain, and advancement functions. You will engineer robust and scalable ontology-driven understanding designs, develop and query knowledge charts, integrate structured and disorganized data, and apply semantic requirements to improve data interoperability. Collaborating closely with product groups and information technology engineers, you will bring semantic abilities into real-world company applications. This is an opportunity to work at the leading edge of semantic data innovations in the pharmaceutical industry-enabling FAIR information, accelerating AI utilize cases, and driving smarter digital operations.

Essential Skills/Experience:
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- 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 information technology pipelines, REST APIs, and automation.
• Ability to translate company ideas into structured, ontology-driven knowledge designs.
• End-to-end experience delivering chart or semantic information jobs in production environments.
• Experience operating in Agile groups and engaging with technical and non-technical stakeholders.
• Bachelor's degree in Computer technology, information technology Systems, Data Engineering, or related field (Master's preferred).
  
  Desirable Skills/Experience:
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  - Familiarity with tools like Protégé, VocBench, or TopBraid for ontology advancement.
• Exposure to graph-based AI/ML usage cases such as embeddings, thinking, or LLM combination.
• Understanding of information governance, metadata, and FAIR principles.
• 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 available in the market and their application in everyday work circumstances.
• Possess working knowledge of standard prompting strategies and constantly enhance these skills.
• Stay up-to-date with advancements in AI and GenAI, applying new insights to work-related scenarios.
  
  When we put unanticipated teams in the exact same space, we release bold thinking with the power to inspire life-altering medications. In-person working gives us the platform we require to connect, operate at rate and obstacle understandings. That's why we work, typically, a minimum of 3 days weekly from the workplace. But that does not mean we're not versatile. We balance the expectation of being in the office while appreciating specific versatility. Join us in our unique and enthusiastic world.
  
  At AstraZeneca, you'll be part of forming the future of Operations as we towards our 2025 technique. With a focus on high efficiency through agility, responsiveness, reliability, and efficiency, we intend to provide brand-new methods and complicated pipelines to market promptly. Supported by a dedicated team, you'll accelerate operational excellence through developments in innovative science, Lean methodologies, and quickly developing digital technologies.
  
  Ready to make a distinction? Apply now to join our team and be part of something amazing!
  
  Date Posted
  
  Closing Date
  
  AstraZeneca welcomes diversity and equality of chance. We are dedicated to building an inclusive and diverse team representing all backgrounds, with as wide a variety of perspectives 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 certified candidates, despite their characteristics. We adhere to all appropriate laws and policies on non-discrimination in work (and recruitment), along with work authorization and work eligibility confirmation requirements.