Innovate with us
We invite data and AI professionals to join us in working to transform our R&D through the potential of data and AI.
Enhancing and accelerating drug discovery with AI
AI and data
Powering innovation through AI
At AstraZeneca, AI is embedded into everything we do. In R&D, it's helping transform our ways of working and enhancing the quality of our research. This enables our scientist to focus on achieving our goal of delivering novel medicines for patients.
>90%
of our small molecule discovery pipeline is enabled by AI
1,000+ diseases
The number of diseases our AI research tool, MILTON, can predict up to 10–15 years before clinical diagnosis
600+
Data science and AI experts support R&D
AI plays a critical role across all stages of drug discovery and development
Finding the right drug target
AI integrates layers of biology including genes, proteins and cell signals to pinpoint and validate high‑confidence targets, revealing key disease mechanisms.
Drug design
AI models help prioritise molecules for further development, so they can be optimised to deliver desirable therapeutic properties.
Improving quality of drug candidates
AI predicts properties like potency and manufacturability to identify molecules with the highest probability of clinical progression.
Increasing productivity
AI supports smarter decision making and automates routine work, enhancing and accelerating research.
Selecting the right patients for trials
AI combines biomarkers, imaging, and real-world data to help match the right therapy to the right person, increasing the likelihood of benefit.
Optimising trials for patients
AI helps to reduce the burden on patients and clinical trial sites, potentially enhancing safety monitoring while reducing travel burden and site visits.
How data sets our R&D apart
We develop diverse medicines across multiple therapy areas, backed by vast experimental and clinical datasets. AI connects this data, decoding its complexity to reveal insights that help accelerate innovative drug discovery.
Why are data so important?
In traditional science, variability in large datasets has often been seen as "noise" that made it hard to understand what research findings mean, or how medicines work.
AI turns that noise into a signal and insights that can be benchmarked across different tests and patient groups, increasing the likelihood of potential breakthrough discoveries.
The transformative potential of foundation models in R&D
Foundation models are large AI models trained on broad, multimodal biomedical and scientific data that can be adapted to many tasks across R&D.
Human-led responsible AI
We’re building a future-ready workforce, focused on responsible, ethical AI with human oversight.
We collaborate with the best minds in science, technology, and academia to pursue scientific breakthroughs.
Human-centric, responsible AI for positive societal impact
We are committed to data standards, ethics and transparency – ensuring expert human review remains central to every AI-driven insight.
Culture as a driver of AI transformation
We are upskilling our entire workforce and investing in people at scale — empowering scientists to harness AI’s potential for breakthrough discoveries.
Collaboration: bringing bright minds together
We complement our strong in-house AI capabilities through an ecosystem of partnerships including academia, frontier and specialised AI companies, regulators, patients and more.
Our R&D pipeline
We are building a growing pipeline designed to target the underlying drivers of disease with the goal of creating potentially life-changing medicines.
Veeva ID: Z4-80894
Date of preparation: August 2026