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Data Science & AI

At AstraZeneca, we’re passionate about what Data Science and AI can do

This is the place where data impacts lives

Our entire business is transforming at pace. We’re on a journey to become a data-led enterprise that disrupts the entire industry and sets the benchmark for others to follow. We’ve come so far, but in many ways we’re just getting started.

There’s no better place, or time, to join. We’re investing like never before in our people, in growth, and in new techniques and technologies. There are opportunities at every turn, with a variety and breadth that is uncommon to find.

Put simply, we take data seriously. It plays a central role in our business – so you can be sure that the work that you do here is valued and important at every level.

But most of all, the work we do is meaningful. Regardless of what you work on, your efforts will accelerate the potential of medicines and science and make a positive impact on patients’ lives. That’s what gets us up every day. That’s what data and AI can do when you harness the potential of great minds.

There’s no better place, or time, to join

We’re having incredible success with one of the strongest pipelines in the industry. There’s a fighting spirit that’s unlike any other BioPharma of our size and heritage.

And it’s a business that’s really taking data seriously – we’re already on a journey, but the speed and scale of investment behind what we’re doing shows the importance we place on Data Science & AI, and the huge ambition that we have to take it to the next level.

Bring your curiosity to the table

We talk about culture additions, not culture fit – so diversity of thought is important to us. It’s the fuel behind discourse, discussions, collaboration, and new thinking.

Here you have the space to be innovative – our people actively explore and innovate every day. They have a genuine love of learning, and thrive in an environment which stretches us to grow and develop, to experiment and try new things.

Join a collaborative community 

Ours is an inclusive culture where you’re supported and empowered to take the lead. To explore and test new ideas or apply cutting-edge techniques in novel ways.

We’re self-starters that always take the initiative. We’re part of a culture of curiosity, with highly collaborative people who are open to new ideas and thinking.

We have an open approach to the way we work – which means you get to work with a range of different experts, from academic to independent specialists. 

Here you get to solve some of the most technically challenging problems out there – with huge data sets and highly complex databases.

Our world-class people are all connected by the same shared ambition: to positively impact patients’ lives, together.

Where should you start?

Whatever your role, everyone in Data Science & AI makes a big contribution to our purpose, and our enterprise-wide transformation. Whether you’re a Data Scientist, Data Engineer or Information Architect, a Chemoinformatic, Bioinformatician or Machine Learning Engineer – there’s a team for you, with a unique role to play, brought together through shared goals and a collaborative culture. 

Data Scientists

Innovate with data and make a meaningful impact

The big ambition is to become a data-led enterprise that disrupts the entire industry – it’s a bold vision with huge investment behind it 

Our team has a depth of specialist skills in mathematics and computation. We have strong communities around data science, and our data is ‘analytics ready’, built up over 20 years and from over 250 million patients.

The complexity and variety of the work is stimulating, which means endless development opportunities. You get to learn lots and learn fast.


Transform chemistry with machine learning

We’re a specialist team that is growing fast – a diverse mix of people from different backgrounds. We have great facilities, great models, and access to world-class scientists in many disciplines.

Enjoy the freedom and space to be curious, to test-out and apply novel ideas, and the autonomy to drive your decisions forward – all because we are passionate about what data can do for the advancement of science.

There’s never been a better time to join, we’re investing in developing our team, and bringing in new people all the time.


Get closer to the science and solve a wide range of problems

We’re a team of leading specialists that applies information technology to biological, medical and health research.

You’ve got to be strongly connected to the science to work here – it informs every part of our culture and mindset. We’re firmly embedded with our colleagues in science and we have a wide range of problems to solve within the fields of genomics, epigenomics, next generation sequencing, programming development and computational biology.

We have an open and collaborative approach, which connects us to leading academic institutions and the latest advancements. It’s a science-driven yet relaxed team environment, bringing together a wide range of skills and expertise. There are no egos, just peer-to-peer working around the same shared purpose.

Data Engineers

We turn data into a reality by building it into the way we work

Our team embeds data into the business – driving transformation and change and accelerating the ambition to become a more data-driven enterprise.

The size and scale of AstraZeneca makes for interesting and challenging work. There’s a huge variety in the work we do, with interesting problems to solve – that’s why we’re a team of self-starters who always find a way.

As a Data Engineer, you’re more accountable here than elsewhere, which means you get more responsibility and freedom to run with your ideas. If you value change and want to make a big impact, then this is the right place for you.

Machine Learning Engineers

We create new programmes and algorithms that power the entire business

We’re a team of talented people from a wide variety of backgrounds – computer science, economics, physics, and more. We like to think about the world in unique ways.

The work we do here is intellectually challenging and diverse – difficult problems that give you the opportunity to innovate, apply cutting-edge Machine Learning techniques and develop new algorithms, with over 20 years’ worth of life science data to work from.

We work together with a real sense of camaraderie. It’s an open and collaborative community that shares insights, knowledge and best practice with one another through meet-ups, workshops and international conferences.

Information Architects

We simplify and transform the way data flows

Our work helps data to flow quicker through the enterprise, simplifying the landscape and putting the data in the hands of the people who can benefit from it – that’s what really accelerates enterprise-wide transformation.

It’s a fantastic journey to be a part of, where the change that we’ve helped to embed has grown a company and set the foundations for so much more in the future 

If you’re interested in data management, in solving complex puzzles and grappling with difficult challenges, then this is the place for you.

Featured roles

View all of our available opportunities
Global TB

Anna Coenen-Stass

Senior Scientist in Bioinformatics

"I chose Astrazeneca because it's a global company with an outstanding oncology portfolio." - To find out more and watch the video...

Chris Kenny

Chris Kenny

Information Architect

"The three best things about working at Astrazeneca, I think of people first, then the opportunities that the organisation brings." - To find out more and watch the video...

Global TB

David Geleta

Knowledge Engineer

"One of the best things about working at Astrazeneca is the mission because every day we are delivering life-changing medication to millions of people." - To find out more and watch the video...

Global TB

Ashiq Ariff

Data Scientist

"Data and Science are both at the heart of Astrazeneca, being a scientific company they understand how valuable data is." - To find out more and watch the video...

Global TB

Simon Bradford

Data Engineering Lead

"Astrazeneca is a great place to do Data Science and AI because of the volumes of data we've got, the complexitiy of data we've got, and the use cases that we have to address here." - To find out more and watch the video...

Esben Jannik Bjerrum

Esben Jannik Bjerrum


"The reason why i chose to join AstraZeneca was first of all the scientific research here and also that AstraZeneca is very open towards scientific publications and very open to publishing the source code we develop." - To find out more and watch the video...

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