Join our Operations IT group at AstraZeneca, where your work straight impacts clients by transforming our capability to develop life-changing medications. We empower business to carry out at its peak, combining cutting-edge science with leading digital innovation platforms and data. This is a vibrant and difficult environment, providing countless opportunities to discover and grow. Whether it's exploring brand-new innovations in hackathons or changing the functions and work of colleagues, this is your chance to be part of a group that innovates, disrupts 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 options throughout our manufacturing, supply chain, and development functions. You will craft robust and scalable ontology-driven understanding models, build and query understanding charts, incorporate structured and disorganized information, and use semantic requirements to boost information interoperability. Collaborating carefully with product groups and information engineers, you will bring semantic abilities into real-world organization applications. This is a chance to operate at the leading edge of semantic information 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 residential or commercial property graph 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 equate organization principles into structured, ontology-driven understanding models.
- End-to-end experience providing chart or semantic data tasks in production environments.
- Experience operating in Agile groups and engaging with technical and non-technical stakeholders.
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related 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, reasoning, or LLM integration.
- Understanding of data governance, metadata, and FAIR concepts.
- Experience with commercial or making data from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of use case particular GenAI tools offered in the market and their application in day-to-day work scenarios.
- Possess working understanding of basic triggering and constantly improve these abilities.
- Stay current with advancements in AI and GenAI, applying brand-new insights to work-related situations.

When we put unforeseen groups in the very same room, we release bold thinking with the power to influence life-altering medications. In-person working gives us the platform we need to connect, operate at speed and obstacle understandings. That's why we work, on average, a minimum of three days each week from the office. But that doesn't indicate we're not versatile. We balance the expectation of being in the office while respecting private versatility. Join us in our special and ambitious world.

At AstraZeneca, you'll be part of shaping the future of Operations as we journey towards our 2025 strategy. With a focus on high efficiency through dexterity, responsiveness, dependability, and efficiency, we aim to deliver new methods and intricate pipelines to market swiftly. Supported by a devoted team, you'll accelerate functional quality through innovations in innovative science, Lean methodologies, and quickly progressing digital innovations.

Ready to make a difference? Apply now to join our group and be part of something amazing!

Date Posted

Closing Date

AstraZeneca accepts diversity and equality of chance. We are dedicated to building an inclusive and varied group representing all backgrounds, with as wide a series of perspectives as possible, and utilizing industry-leading skills. We think that the more inclusive we are, the better our work will be. We welcome and think about applications to join our team from all certified candidates, despite their qualities. We adhere to all suitable laws and regulations on non-discrimination in employment (and recruitment), along with work permission and employment eligibility verification requirements.