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Takeda Pharmaceuticals Big Data / Algorithm Program Owner, DD&T, Shanghai/Beijing in Beijing, China

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Job Description

OBJECTIVE

The role is to drive an Insights Driven Organization, by leveraging AI and big data technology to drive performance and impact.

RESPONSIBILITIES

  • Unleash the power of Data, Digital and Technology to achieve China Aspiration & Elevation Plan by building strategic capabilities

  • Assist team head to define roadmap for China healthcare data and digital services capabilities aligned to business strategy

  • Assist team head to design and develop of the data strategy and data governance, in collaboration with digital healthcare and customer experience team

  • Leading to use data science (https://www.techtarget.com/searchenterpriseai/definition/data-scientist) and advanced analytics capacities both combine and extend prescriptive analytics (https://www.techtarget.com/searchcio/definition/Prescriptive-analytics) and predictive analytics (https://www.techtarget.com/searchbusinessanalytics/definition/predictive-analytics) while adding various options for digital projects

  • Based on AI and GenAI technology, big data analytics, and collected large volumes healthcare data, drive to figure out the potential commercial insights and fill unmet business needs

  • Leading to execute ‘Go-to-market’ strategy, and looking for potential external opportunity to collaborate with external data partners to provide services for patient unmet needs based on AI/big data technology

  • Foster the creation of a data-driven culture across the whole company level

Qualifications & Skills:

Level of Education

Health data science background and Master Degree is a must

Working Experience in Relevant Field

12+ years experiences in health data science/Health informatics projects, healthcare data digital innovation strategy , experiences in pharmaceutical industry preferred

Professional Knowledge and Skills

Fluent English

Locations

CHN - Shanghai - Commercial

CHN - Beijing - Commercial

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

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