Associate Director Data Science - Late CVRM

Are you a Data Scientist with a good 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 now offering an exciting opportunity for an Associate 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 an Associate Director Data Science, you will contribute to set the data science strategy within the CVRM Therapeutic Area. It is expected that you will identify new opportunities from interactions with stakeholders and be responsible for planning, designing, and executing data science projects. 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 innovative strategic data science initiatives across Biometrics and the therapeutic area (TA). There will also be opportunities to explore new ideas and deliver 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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Contribute to the data science strategy for the TA
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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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Using domain-specific understanding, lead teams to translate business problems into the appropriate analytics problem and find solutions
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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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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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Maintain a broad awareness of the evolving external environment and makes recommendations on outside technologies/approaches for company to pursue
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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



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 (CV and cover letter) no later than October 31, 2021. 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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