Senior Data Engineer

Job Description

Career Level: D

Introduction to role:

Are you ready to make a significant impact on patient outcomes and improve lives? At AstraZeneca, we are on a mission to become an AI and data-led enterprise. We are seeking a Senior Data Engineer to join our Predictive AI & Data team. This pivotal role involves driving transformative change by converting complex data into life-changing insights. You'll collaborate with leading experts and contribute to innovative solutions. Are you prepared to shape the future of a dynamic business in the technology space? If so, this opportunity is for you!

Accountabilities:

In this position, you will deliver tailored solutions to our Clinical Pharmacology & Safety Science colleagues, utilizing enterprise infrastructure and technology in alignment with AstraZeneca's 'Bold Ambition' initiative for 2030. Your responsibilities will include gathering requirements from stakeholders, prototyping solutions, leading delivery (including testing and release), and collaborating closely with R&D IT, AI, and Bioinformatics teams. You will work with colleagues globally, primarily in Sweden, the United Kingdom, and the United States.

Essential Skills/Experience:

• Relevant graduate degree: Bioinformatics, Computer Science, or Engineering
• Great interpersonal skills and a collaborative approach to delivery
• Ability to communicate effectively with different audiences (written and spoken) in English
• Ability to understand business needs and translate them into a solution
• Experience delivering scalable and well-engineered solutions across key elements of the data and analytics domain
• Excellent problem-solving, analytical, and critical thinking skills, with a keen attention to detail
• Strong data analysis, data visualization, and data engineering skills
• Strong programming skills in Python and other similar languages
• Experience in Unix, SQL databases, cloud computing (AWS), and HPC (High Performance Computing)
• Experience in machine learning, AI, and statistical data analysis
• Experience in data modeling, data warehousing, and data integration
• Familiarity with professional software engineering practices and tools (version control, CI/CD, automated testing)

Desirable Skills/Experience:

• Experience with GenAI and Agentic workflows
• Experience architecting data platforms and data-driven solutions
• Experience in data processing, analysis, and visualization related to drug development processes, particularly clinical and pre-clinical
• Experience in data processing and analysis of omics data and bioinformatics in general
• Experience in developing methods and algorithms in the data engineering and analytics domain

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.

At AstraZeneca, curiosity meets courage as we explore the possibilities of science to tackle some of the world's most complex diseases. Our inclusive environment fosters collaboration with academia and biotech partners, empowering us to push boundaries and accelerate progress. With open doors and diverse voices, we are committed to making a difference by integrating digital, data science, and AI into our scientific endeavors. Here, lifelong learning thrives alongside cutting-edge innovations.

Ready to take the next step? Apply now to join our team!

Date Posted

Closing Date

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.