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Join AstraZeneca and use your expertise to implement data driven & AI approaches and help deliver life-changing medicines to patients worldwide. This isn't just a role, it's your opportunity to transform the future of medicine and improve millions of lives. What we do AstraZeneca is a global, science-driven BioPharmaceutical business and our innovative medicines are used by millions of patients worldwide. Ultimately, our aim is to work towards a cure for some of the world's most complex diseases. Whether that's by shaping the patient ecosystem and focusing on outcomes, or by progressing potential medicines and accelerating their launch. Pharmaceutical Sciences at AstraZeneca delivers the therapies of the future through scientific leadership in drug delivery, design of synthetic routes, and manufacturing of Active Pharmaceutical Ingredients and drug products. In essence, we are working \u201cfrom molecule to medicine\u201d to develop medicines for our patients today and tomorrow. 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You will lead the development of future agentic AI workflows ensuring we unlock the full value of our scientific data and drive our strategic goals of increased productivity and speed within our drug projects. You will collaborate with world-class scientists, IT and data teams to: Lead and/or contribute towards the vision, roadmap and implementation of digital , lab automation and AI solutions enabling scientific productivity and scientific knowledge management. Use your experience of working with data to embed best practices, ensuring data capture, management, and analysis are fully integrated with scientific and digital workflows. Be a strong leader in a community of informaticians and digital champions, raising digital and AI literacy across the scientific organisation. Partner on the development and deployment of next-generation digital tools, such as laboratory automation systems, FAIR data products, and an agentic AI infrastructure. Collaborate with Predictive Science teams to ensure all informatics solutions are analytics-ready and drive robust data pipelines for AI/ML applications. Act as an influential voice for digital transformation within Pharmaceutical Sciences Expected background for the role Graduate or postgraduate degree in natural sciences (chemistry, biology, or related), data science, or other relevant discipline. Proven track record in scientific informatics (cheminformatics, bioinformatics or lab automation) Demonstrated experience and/or leadership of working within a scientific environment but with a passion to develop and learn new informatics, data and AI skills OR an experienced data / computer scientist with a desire to work in close partnership with lab-based scientists. Excellent written and verbal communication, business analysis, and consultancy skills. Basic skills in high level programming or data-lake/database tools (e.g. Snowflake or similar cloud platform) Why AstraZeneca At AstraZeneca, we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. Ultimately, it's more than a job. We know that our work impacts people with serious conditions, many of whom have no other alternatives. That's what drives us - the potential to impact over one billion patients worldwide. Location: Macclesfield UK Salary: Competitive + Excellent Benefits So, what's next? Are you already imagining yourself joining us? Good, because we can't wait to hear from you! Welcome with your application; CV and cover letter, no later 15 February, 2026. Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/ Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/ Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en 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. 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