Job Title: Senior Data Engineer (Biopharmaceutical Development)

Introduction to role:
Are you ready to explore and innovate in a dynamic environment? As a Senior Data Engineer specializing in knowledge graph development, your role will be pivotal in the design, creation, and maintenance of our organization's knowledge graph infrastructure. Your expertise will be instrumental in advancing knowledge management and discovery, with a primary focus on ensuring it is Findable, Accessible, Interoperable, and Reusable (FAIR) for scientists across the company. Our work revolves around collaboration with scientists and engineers from diverse fields within biopharmaceutical development to effectively analyze data, extracting valuable information, knowledge, and insights. Our collective mission is to optimize and revolutionize the R&D workflows, expediting the design and delivery of innovative medicines to patients.

Accountabilities:
In this role, you will develop knowledge graph solutions to architect, analyze, and continuously evolve BPD knowledge-based systems. You will integrate data from diverse sources (structured and unstructured) into the knowledge graphs, maintaining data quality and consistency. You will also develop and maintain schemas, controlled vocabularies, and ontologies for knowledge graphs, ensuring they accurately represent complex concepts and relationships. Additionally, you will continuously monitor and optimize knowledge graphs for performance and scalability. You will develop graph query services and machine learning applications to extract insights from knowledge graphs for users, including data scientists and lab scientists. Lastly, you will collaborate with cross-functional teams and partners to understand business requirements, identify knowledge gaps, and define data-driven strategies to streamline R&D processes.

Essential Skills/Experience:
• M.Sc. in a relevant field (such as mathematics, computer science, engineering) with 4 years of industry experience.
• Proven experience in data engineering, preferably in the biopharmaceutical or healthcare domain.
• Experience in knowledge graph development, ontology design, and graph database technologies.
• Strong programming skills (Python, Java, SQL)
• Excellent communication skills and the ability to collaborate effectively with diverse teams.

Desirable Skills/Experience:
• PhD degree in a relevant field (such as mathematics, computer science, engineering) with 2 years of industry experience.
• Experience with graph database systems (Neo4j, RDF, Amazon Neptune, Virtuoso) and related query languages (Cypher, SPARQL).
• Prior experience with Natural Language Processing, Large Language models and generative AI.
• Experience with cloud computing platforms such as AWS and Azure.
• Experience with data transformation, ETL processes and data quality management.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn't mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Why AstraZeneca?
Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference. We have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.

Ready to make a difference? Apply now and join us in our mission to revolutionize biopharmaceutical development!

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.