Associate Director Data Scientist - Barcelona, España - AstraZeneca
Descripción
Associate Director
Data Scientist
Locations:
Barcelona, Mississauga, Gothenburg, Gaithersburg
Salary & Benefits Competitive
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 ground breaking methods and bringing unexpected teams together.
Data Scientists in the Data Science & Advanced Analytics (DS&AA) team work directly with our partners in therapy areas to deliver insight from clinical trial data.
- Study planning and development: using prognostic models to identify patients most likely to have an event / progress to inform inclusion and exclusion criteria for recruitment
- Instream clinical studies: using exploratory data science to identify subgroups of patients
- Posthoc metaanalysis: using legacy clinical trial data to inform clinical development strategies in existing or new indications
- Our projects have direct impact on the development pipeline and our insights makes valuable contributions to AstraZeneca. Through this we are able to have a direct impact on transforming patients' lives by accelerating new medicines to those most in need.
- Stakeholder engagement to understand challenges in clinical trial development and to facilitate technical discussions on methodologies to identify solutions.
- Lead and deliver data science and machine learning projects to address specific clinically driven questions.
- Communicate complex methodologies to a range of audiences including machine learning researchers, statisticians and clinical teams, either through project team meetings or seminars/training courses.
- Develop, test, implement and refine methods with a software engineering approach.
- Collaborate with a diverse range of customers, enabling effective consensus, conflict resolution and alignment to project goals.
Essential requirements
- Significant experience of the pharmaceutical experience or relevant field.
- Proven track record of driving complex collaborations to successfully deliver impactful data science projects.
- Recognised expert in field including publication/conference accomplishments
- Experienced in Python.
Why we love it
So, what's next?
- _ Are you already envisioning 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._
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