At AstraZeneca, when we see an opportunity for change, we seize it and make it happen, because any opportunity, no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial – finding those moments and recognizing their potential. AstraZeneca is building an outstanding organization at the forefront of the digital revolution in healthcare. We’re applying technologies such as AI, machine learning, software and data engineering and analytics to provide mission-critical insights. Here you will be a valued part of a team where your work has a big impact – to develop life-changing medicines.
Where AI is valued at every level- with the backing and investment it deserves. We have a bold vision – to become a digital and data-led enterprise that disrupts the entire industry. To get there we need to experiment with the leading-edge technology and design complex software solutions from scratch – so if you’ve got a passion for AI and IT, this is the place. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be, meaning new ways of working, pioneering cutting edge methods and bringing unexpected teams together. With the varied roles across the divisions, there’s an opportunity for anyone in IT to innovate and make a difference.
Listen to Rocío Mercado at 14:55
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Start a career that will help improve the lives of millions of people. Take on real responsibility in a supportive and truly innovative environment. Join a group of brilliant minds to solve problems that impact people on a global scale.
Data Science & Artificial Intelligence
At AstraZeneca we harness data and technology to maximise time for the discovery and delivery of potential new medicines. Right now, we are embedding data science and Artificial Intelligence (AI) across our R&D to enable our scientists to push the boundaries of science to deliver life-changing medicines. Visit our site here.
Machine learning is the key to analyzing data quickly and finding relevant connections. That’s why our team is using knowledge graphs, which are networks of contextualized scientific data facts such as genes, proteins, diseases, and compounds — and the relationship between them — to give scientists new insights. Check out our blog posts here.
Meet us on Slack
We will be available in the GAIA slack for questions and discussions. Please join us in the channel #gaia2020-astrazeneca in the GAIA Slack if you want to know more about us, what we do, or our job openings. See you there!
@Cecilio C. Baro
Cecilio C. Baro