Join our Operations IT group at AstraZeneca, where your work straight impacts patients by transforming our capability to establish life-altering medicines. We empower the company to carry out at its peak, integrating advanced science with leading digital innovation platforms and data. This is a vibrant and tough environment, using countless chances to learn and grow. Whether it's exploring new innovations in hackathons or changing the functions and work of associates, this is your possibility to be part of a group that innovates, disrupts a market, and changes lives.

Accountabilities:
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As a Knowledge Graph and Semantic Engineer, you will play an essential role in establishing and providing semantic and graph-based solutions across our production, supply chain, and advancement functions. You will engineer robust and scalable ontology-driven knowledge models, construct and query knowledge charts, incorporate structured and disorganized data, and use semantic standards to boost data interoperability. Collaborating carefully with item groups and data engineers, you will bring semantic abilities into real-world company applications. This is a chance to work at the forefront of semantic data technologies 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 home chart modeling.

• Proficiency with RDF, OWL, SHACL, SPARQL, and other semantic web innovations. Python abilities with experience in information technology pipelines, REST APIs, and automation.
• Ability to equate organization principles into structured, ontology-driven understanding designs.
• End-to-end experience delivering graph or semantic information tasks 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 chosen).
  
  Desirable Skills/Experience:
  
  - 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 integration.
• Understanding of information governance, metadata, and FAIR principles.
• Experience with commercial or making data from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
• Awareness of usage case particular GenAI tools readily available in the market and their application in everyday work circumstances.
• Possess working knowledge of standard triggering techniques and continually improve these skills.
• Stay current with advancements in AI and GenAI, applying new insights to job-related situations.
  
  When we put unexpected teams in the exact same space, we release strong thinking with the power to motivate life-changing medications. In-person working provides us the platform we need to link, operate at rate and difficulty perceptions. That's why we work, typically, a minimum of three days each week from the workplace. But that doesn't indicate we're not versatile. We stabilize the expectation of remaining in the workplace while respecting private versatility. Join us in our distinct and ambitious world.
  
  At AstraZeneca, you'll become part of shaping the future of Operations as we journey towards our 2025 technique. With a concentrate on high performance through dexterity, responsiveness, reliability, and effectiveness, we intend to provide new methods and complex pipelines to market swiftly. Supported by a devoted team, you'll accelerate functional quality through developments in advanced science, Lean methods, and quickly developing digital innovations.
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  Ready to make a difference? Apply now to join our group and become part of something amazing!
  
  Date Posted
  
  Closing Date
  
  AstraZeneca embraces diversity and equality of chance. We are dedicated to constructing an inclusive and varied group representing all backgrounds, with as wide a variety of perspectives as possible, and utilizing industry-leading abilities. Our company believe that the more inclusive we are, the much better our work will be. We invite and consider applications to join our group from all qualified candidates, despite their characteristics. We comply with all relevant laws and policies on non-discrimination in work (and recruitment), along with work authorization and employment eligibility verification requirements.