Join our Operations IT group at AstraZeneca, where your work straight affects patients by transforming our ability to establish life-changing medicines. We empower the organization to carry out at its peak, integrating cutting-edge science with leading digital innovation platforms and data. This is a dynamic and challenging environment, offering many opportunities to discover and grow. Whether it's exploring brand-new innovations in hackathons or changing the roles and work of colleagues, this is your opportunity to be part of a group that innovates, interrupts an industry, and modifications lives.
Accountabilities:
As an Understanding Graph and Semantic Engineer, you will play a crucial role in establishing 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, develop and query understanding charts, integrate structured and disorganized information, and apply semantic standards to improve data interoperability. Collaborating carefully with item teams and data engineers, you will bring semantic abilities into real-world business applications. This is a chance to operate at the forefront of semantic data technologies in the pharmaceutical industry-enabling FAIR information technology, accelerating AI use 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 technologies.
- Strong Python abilities with experience in information pipelines, REST APIs, and automation.
- Ability to equate organization principles into structured, ontology-driven understanding designs.
- End-to-end experience delivering chart or semantic information jobs in production environments.
- Experience working 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 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 combination.
- Understanding of information technology governance, metadata, and FAIR concepts.
- Experience with industrial or making data from systems such as ERP, MES, IoT platforms, or Cognite Data Fusion.
- Awareness of use case specific GenAI tools readily available in the market and their application in daily work circumstances.
- Possess working knowledge of standard triggering methods and continually improve these skills.
- Stay up-to-date with advancements in AI and GenAI, applying brand-new insights to work-related circumstances.
When we put unforeseen teams in the very same space, we unleash vibrant thinking with the power to influence life-altering medications. In-person working gives us the platform we require to link, work at rate and challenge understandings. That's why we work, typically, a minimum of 3 days per week from the office. But that does not suggest we're not flexible. We stabilize the expectation of remaining in the office while respecting individual versatility. Join us in our unique and ambitious world.
At AstraZeneca, you'll belong to forming the future of Operations as we journey towards our 2025 strategy. With a concentrate on high performance through dexterity, responsiveness, dependability, and efficiency, we intend to deliver new techniques and complicated pipelines to market promptly. Supported by a dedicated group, you'll speed up functional quality through developments in cutting-edge science, Lean methods, and rapidly evolving digital innovations.
Ready to make a difference? Apply now to join our team and belong to something amazing!
Date Posted
Closing Date
AstraZeneca embraces variety and equality of chance. We are dedicated to building an inclusive and diverse group representing all backgrounds, with as wide a series of perspectives as possible, and harnessing industry-leading skills. Our company believe that the more inclusive we are, the better our work will be. We invite and consider applications to join our team from all certified prospects, regardless of their qualities. We adhere to all appropriate laws and policies on non-discrimination in work (and recruitment), as well as work permission and employment eligibility verification requirements.
