Senior Data Scientist
Locations: Barcelona (On-site) 3 days working from the office and 2 days working from home.
Competitive Salary & Benefits package
Make a more meaningful impact to patients' lives around the globe.
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're opening up new ways to work,
pioneering groundbreaking 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, translational 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 implementing novel analytical techniques to analyse internal data.Developing and driving adoption of best practices 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. As a Senior Data Scientist within the team, your key responsibilities will be: Deliver data science and machine learning projects to address specific clinically driven questions.Regular meetings 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. Why we love it:
If your passion is science and you want to be part of a team that makes a bigger impact on patients' lives, then there's no better place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.
So, what's next?
- Are you already imagining yourself joining our team? Good, because we can't wait to hear from you!
- Are you ready to bring new insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it's yours.
Date Posted: 09-dic-2024
Closing Date: 30-dic-2024
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.
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