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Director, Data Scientist

Plats Barcelona, Katalonien, Spanien Jobb-id R-233215 Datum inlagd 08/11/2025

Location: Barcelona, Spain. 3 days/week working form the office.

Here you’ll have the chance to create a meaningful difference to patients’ lives. With science at its heart, this is the place where breakthroughs born in the lab become transformative medicines – for the world’s most sophisticated diseases.

At AstraZeneca, we’re not afraid to do things differently. We’re building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’reopening up new ways to work, pioneering ground breaking methods and bringing unexpected teams together. 

Data Scientists in the Clinical Data Science team work directly on Vaccines & Immune Therapies projects in collaboration with clinicians, scientists and statisticians. We use machine learning, predictive modelling, and visualisation to support delivery of our clinical trial pipeline across early and late phases of development, including: 

  • Developing statistical and machine learning models to accelerate decision making, both internally and externally

  • Building simulations to support innovative trial designs 

  • Inventing and executing novel analytical techniques to analyse internal data

  • Developing and driving adoption of best practises in the analysis of clinical data

  • Consulting with subject matter experts to understand their analytical needs, ensure analyses are fit for purpose, and that the insights derived are clearly communicated.

We are looking for a Director, Data Scientist to join our Clinical Data Science team.

As a Director, Data Scientist within the team, your key responsibilities will be: 

  • Lead and deliver a portfolio of work in data science and machine learning to address specific clinically driven questions 

  • Interfacing directly with internal customers to promote discussion and adapt analyses to enable new insights based on findings 

  • Clearly and objectively communicate results, as well as their associated uncertainties and limitations 

  • Develop, test, implement and refine methods with a software engineering approach 

  • Collaborate with a diverse range of partners, enabling effective consensus, conflict resolution and alignment to project goals 

Essential requirements

  • PhD or equivalent experience in statistics, mathematics, computer science, the physical sciences or related subject 

  • Demonstrated knowledge of the pharmaceutical industry or relevant field  

  • Track record of collaborating successfully with customers and delivery of impactful data science projects  

  • Experienced in Python 

  • Experience executing projects with generative AI 

Why AstraZeneca? 

At AstraZeneca we’re dedicated to being an excellent Place to Work. Where you are empowered to push the boundaries of science and unleash your ambitious spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare. 

So, what’s next? 

Are you already imagining yourself joining our team? Are you ready to bring new insights and fresh thinking to the table? Good, because we can’t wait to hear from you.

Date Posted

11-ago-2025

Closing Date

30-ago-2025

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 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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