Associate Director of Data Engineering

Introduction to role

Are you ready to do important work that impacts patient outcomes and improves lives? At AstraZeneca, we are on a journey to becoming an AI and data-led enterprise. We are looking for an Associate Director Data Engineer to join our Predictive AI & Data team. This role is crucial in driving positive disruptive transformation, turning complex information into life-changing insights. Here, you will have the opportunity to work with leading experts and be part of novel solutions. If you are ready to rise to the challenge of shaping the future of an evolving business in the technology space, this is the role for you!

Accountabilities

In this role, you will be responsible for delivering fit-for-purpose solutions to our CPSS (Clinical Pharmacology & Safety Science) colleagues, using enterprise infrastructure and technology, where possible, aligned with AZ’s “Bold Ambition” initiative for 2030. Your tasks will include receiving requirements from stakeholders, prototyping solutions which meet those requirements, leading the delivery (including test and release) of those solutions and collaborating closely with our colleagues in R&D IT as well as the AI and Bioinformatics groups. You will collaborate with colleagues across the globe, predominantly with our colleagues in Sweden, United Kingdom and United States of America.

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 of data related to the drug development process, 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.

Thrive in a place where the brightest and most curious minds seamlessly come together in our inclusive environment. Here all doors are open, and every voice is heard. From working side-by-side with academia to innovating with biotech, we are forever expanding our horizons. By sharing and increasing our knowledge we are empowered to be the best we can be and accelerate progress.

Ready to make a difference? Apply now!

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.