Senior Data Scientist - Late CVRM
Role onsite - 3 days at the office & 2 days at home.
Are you passionate about revealing insights from data that can improve the lives of patients? Then, join Late CVRM Biometrics at AstraZeneca and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients! Our aim is simple: to positively impact lives together.
In the Cardiovascular, Renal and Metabolism (CVRM) therapy area, we are now opening a new exciting opportunity within LateCVRM Biometrics as Senior Data Scientist. In collaboration with clinicians and statisticians, we use machine learning, predictive modelling, and visualisation to support delivery of our clinical trial pipeline and drive scientific breakthroughs. This role will be based at AstraZeneca’s R&D site in Barcelona, Spain.
As a Senior Data Scientist, you will develop innovative analytics solutions, machine Learning models, generative AI solutions and advanced visualizations, to generate data-driven disease understanding and improved drug development processes.
Responsibilities include:
- Design and implement statistical and machine learning models to support and expedite data-driven decision-making
- Create novel analytics solutions with applications both within our organization and externally
- Collaborative Partnerships: Build and maintain strong collaborations with a diverse range of internal and external partners
- Stay informed about industry trends and recommend new technologies and approaches for the company to adopt
- Work closely with subject matter experts to understand their analytical needs, ensure analyses are fit for purpose, and clearly communicate insights
Essential for the role
- MSc Degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or a related quantitative field
- Proficiency in Python programming, with experience in developing generative AI model solutions, such as retrieval-augmented generation
- Strong skills in data analysis, drawing actionable insights, and presenting findings clearly and succinctly
- Proven track record of successful collaboration with stakeholders and impactful data science project delivery
- Excellent written and verbal communication skills
Desirable for the role
- PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative field.
- Experience in working with large language models
- Software development experience (e.g. Python, R)
- Experience in clinical pharmaceutical development
Why AstraZeneca?
At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial 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 us? Good, because we can’t wait to hear from you!
Welcome with your application. We will review the applications continuously so please apply as soon as possible.
Where can I find out more?
https://careers.astrazeneca.com/biometrics
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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.
