Director Data Science - Late CVRM

Are you an experienced Data Scientist with a deep knowledge within Clinical Development? Are you also passionate about developing data science solutions to improve the lives of patients in the Cardiovascular, Renal and Metabolism (CVRM) area? Then, join us at AstraZeneca CVRM Biometrics and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients!

At AstraZeneca Biometrics, we are building a Data Science team that will harness data and use cutting-edge methodologies and models to drive scientific breakthroughs. We put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality, by doing the right things.

We are more than 65.000 people in over 100 countries. Our aim is simple: to positively impact lives together. Using the power of science and innovation, our people improve the impact medicine has on patients. Together, we explore the world of science through our remarkable product pipeline and we take our understanding of the CVRM therapeutic area to a whole new level by seeking new treatments. If your passion is science and you want to be part of a team that makes a positive impact on patients' lives, then there's no better place to be.

We are now offering an exciting opportunity for a Director Data Science to join the build-up of a new data science group within Late CVRM Biometrics. This role is preferable based at AstraZeneca's dynamic R&D site in Gothenburg, Sweden, or Gaithersburg, US, and reports to Head of Data Science Late CVRM.



What you'll do

As the Director Data Science, you will contribute to the development and implementation of the data science strategy within the CVRM Therapeutic Area. In this role, you will be responsible for leading the delivery of a portfolio of data science projects as well as identifying new opportunities that will add business value. Through advanced analytics and visualizations of complex data, you will provide data-driven insights to help develop disease understanding and optimize study design and effectiveness. Additionally, you will contribute to or lead innovative strategic data science initiatives across Biometrics and the therapeutic area (TA). There will also be opportunities to explore new ideas and deliver creative and effective solutions, in collaboration with internal groups and/or external partners.



How will you make a difference?

In this role, you will:

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Help develop and deliver a data science strategy for the TA - both for clinical and operational/business data
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Identify new opportunities for application of data science in the TA that deliver value to patients and AstraZeneca
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Establish and maintain effective collaboration with other internal Data Science organizations and external vendors and/or academic partners
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Act as key expert and spokesperson for data science in the TA
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Provide senior stakeholders and functional leadership teams with specific expertise and advice regarding the latest and most innovative approaches to data science and related technologies
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Using domain-specific understanding, lead teams to translate business problems into the appropriate analytics problem and find solutions
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Lead the adoption of ongoing knowledge and awareness in trends, standard methodology and new developments in analytics to influence functional practices and strategy
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Representing skill/function internally and externally at seminars and meetings



What you'll need:

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MSc Degree in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline
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Significant in depth experience in analyzing data, drawing conclusions and presenting in a succinct fashion to senior stakeholders, along with recommended actions
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Significant experience in the analysis of data in applied business and/or scientific application domains
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Computing skills: scientific computing, scripting and visualization of data (e.g. R, Python, Spotfire or PowerBI) and experience working with database systems (e.g. SQL, NoSQL, graph)
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Experience in data mining; machine learning; statistics and visualization
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Proven experience in leading and managing colleagues
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Excellent written and verbal communication skills



Desirable skills:

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PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative discipline.
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Experience in clinical development
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Experience in a complex global organization





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 than November 14, 2021. We will review the applications continuously so please apply as soon as possible.

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