Associate Director of AI
Are you ready to leverage AI and bioinformatics to accelerate drug discovery and development at AstraZeneca? Do you want to work directly with scientists to implement cutting-edge AI solutions—from traditional machine learning and deep learning to Large Language Models, Foundation Models, and Agentic AI workflows—that drive real impact across the drug development pipeline?
You will join a dynamic Predictive AI and Data team that partners with experts across both pre-clinical and clinical stages. Your work will focus on translating complex scientific data into actionable insights, demonstrating value by accelerating existing research processes, and helping build robust AI solutions in production alongside other data science and software engineering teams. This is a forward-deployed role, giving you the opportunity to work hands-on with end users, configure AI tools to meet their needs, and see your solutions move from concept to real-world application.
Accountabilities
- Collaborate with scientists from across the company to understand their challenges and work with them to build the platform that underpins their research.
- Build AIprototype solutions todemonstratevalue in accelerating routine scientific processes.
-CalculateROIandimpactfor AI projects obtaining necessary information and assumptions from stakeholders and future users
-Apply a range of data science methodologies, developing novel data science solutions where off-the-shelf methodologies do not fit
-Build and manage effective relationships with stakeholders to ensureutilizationand value of information resources and services. Clearly and objectively communicate results, as well as their associated uncertainties and limitations to shape solutions
- Champion a “production first attitude” to ensure the necessary infrastructure and platforms are available to scale exploratory research to production.
-Provide training and advice to collaborators onoptimaluse of key data, analysisplatformsand theappropriate useof data science.
- Be a part of a hard-working team, continuously improving AstraZeneca’s Machine Learning development environments, platforms, and tooling.
- Work closely and collaboratively with internal governance and compliance functions such asCyber Security and Data Privacy to securethe computing environmentwithout obstructing end-user productivity.
Essential Skills/Experience
-Bachelor’sdegree, orMaster’s (or equivalent years of experience) in mathematics, computer science, engineering, physics, statistics, computationalsciencesor a related field.
- Advanced skills in programming languages such as Python, and experience with AI libraries and frameworks (e.g., TensorFlow,PyTorch).
- Proven experience in AI and machine learning, in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Experience in prompt engineering, implementing Retrieval-Augmented Generation (RAG), and LLM fine-tuning
-Demonstratedexperience in implementing generative AI workflows (large language models, other foundationmodelsor agentic frameworks) to automate existing process or enable new ones, ideally in the Pharma and/or Healthcare space
- Experience designing agentic AI workflows and an ability to plan strategically for the AI needs in a large organisation
- Strong knowledge of software developmentand machine learning deploymentprinciples
- Demonstratable experience working with AWS or a similar cloud environment
- Experience working with Kubernetes and/or container-based application deployments.
- Excellent communication and presentation skills, with the ability to convey complex AI concepts to non-technical partners.
- Strong leadership and project management skills, witha track recordof leading successful AI projects
- Knowledge of AI ethics and responsible AI practices
Desirable Skills/Experience
- Experience in life sciences,healthcare, or pharmaceutical industry.
- Experience in a complex global organization.
- Experience using DevOpsandMLOpsto enable automation strategies
- Experience with LLM frameworks (LangChain,AutoGen,LlamaIndex)
- Experience working in an Agile team with knowledge or experience of working in product or platform-focused delivery
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?
Here, science leads and data amplifies it. You will work with curious, courageous teams who bring together diverse expertise from industry, academia and biotechs to tackle complex diseases with speed and rigor. We combine cutting-edge AI with deep biological insight, empower people to think differently, and back bold ideas with the tools and platforms to scale them. It is an environment where unexpected teams in the same room unleash bold thinking, where lifelong learning is real, and where your models can move from exploration to publication to patient impact.
If you are ready to build production-grade AI that turns transcriptomics into insights for therapies, take the next step today and help shape what science can do.
Date Posted
22-dic-2025Closing Date
25-ene-2026AstraZeneca 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.
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 authorisation and employment eligibility verification requirements.
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