Join our Operations IT group at AstraZeneca, where your work straight impacts clients by transforming our ability to establish life-altering medicines. We empower the organization to perform at its peak, combining advanced science with leading digital innovation platforms and information technology. This is a vibrant and tough environment, offering numerous chances to learn and grow. Whether it's exploring new innovations in hackathons or transforming the functions and work of coworkers, this is your opportunity to be part of a group that innovates, disrupts an industry, and modifications lives.
Accountabilities:
As a Knowledge Graph and Semantic Engineer, you will play an essential role in establishing and providing semantic and graph-based services across our manufacturing, supply chain, and advancement functions. You will engineer robust and scalable ontology-driven understanding designs, develop and query understanding graphs, incorporate structured and disorganized data, and apply semantic requirements to enhance information interoperability. Collaborating carefully with item groups and data engineers, you will bring semantic capabilities into real-world business applications. This is a chance to work at the leading edge of semantic information innovations in the pharmaceutical industry-enabling FAIR information, speeding up AI use 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 pipelines, REST APIs, and automation.
- Ability to translate organization concepts into structured, ontology-driven understanding models.
- End-to-end experience providing graph or semantic information projects in .
- Experience working in Agile teams 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:
- Familiarity with tools like Protégé, VocBench, or TopBraid for ontology advancement. - 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 industrial or producing data from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of use case particular GenAI tools available in the market and their application in daily work scenarios.
- Possess working understanding of fundamental triggering strategies and continuously improve these skills.
- Stay updated with developments in AI and GenAI, using new insights to job-related situations.
When we put unforeseen groups in the same space, we let loose bold thinking with the power to inspire life-altering medications. In-person working offers us the platform we require to link, work at pace and challenge understandings. That's why we work, on average, a minimum of three days each week from the office. But that does not imply we're not versatile. We balance the expectation of remaining in the office while respecting specific flexibility. Join us in our distinct and ambitious world.
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At AstraZeneca, you'll become part of forming the future of Operations as we journey towards our 2025 technique. With a concentrate on high efficiency through agility, responsiveness, reliability, and effectiveness, we aim to deliver new techniques and complicated pipelines to market quickly. Supported by a dedicated team, you'll accelerate functional excellence through innovations in cutting-edge science, Lean methodologies, and quickly progressing digital innovations.
Ready to make a difference? Apply now to join our group and belong to something amazing!
Date Posted
Closing Date
AstraZeneca welcomes diversity and equality of chance. We are devoted to developing an inclusive and diverse group representing all backgrounds, with as large a series 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 think about applications to join our group from all certified prospects, no matter their characteristics. We adhere to all appropriate laws and policies on non-discrimination in work (and recruitment), along with work permission and employment eligibility verification requirements.