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AstraZenecaPosted 1 month ago

【AstraZeneca】【CET】Cutomer Experience & IT, Associate Director Data Scientist

On-siteOsaka, Osaka, Japan or Tokyo, Tokyo, Japan

Full TimeSenior LevelDoctorate Or Professional DegreeEnterprise

Job Summary

Build and maintain machine learning models for territory planning, HCP targeting, performance monitoring, sales target setting, and new patient forecasting using Japan-specific real-world data sources like MDV, JMDC, and DPC. Lead root cause analysis to explain performance gaps across regions and channels, while designing analytical pipelines that integrate structured data and public health information for scalable applications. Develop forecasting and scenario simulation models incorporating epidemiology, market dynamics, and policy signals to inform long-range planning and investment decisions. Partner with brand teams, market access, and IT to translate business questions into analytical solutions, manage project delivery, and communicate insights through visualization. Mentor junior professionals and promote analytical best practices within the CET data science community.

Required Qualifications

  • 7+ years of experience in data science, machine learning, or quantitative analytics, with substantive project delivery
  • Demonstrated experience building and deploying ML models in a production environment
  • Demonstrated experience working with real-world data (claims, EHR, registry data), epidemiological methods, and public health data sources
  • Experience leading cross-functional analytical projects with both business and IT stakeholders
  • Experience managing project scope, schedule, and outcome quality across multiple parallel workstreams
  • Experience managing senior stakeholder expectations to maximise value for both business partners and the analytics team
  • Strong analytical thinking with ability to translate complex business questions into rigorous analytical frameworks
  • Solid business acumen with understanding of pharmaceutical commercial dynamics, brand lifecycle, and market access
  • Strong communication skills — able to explain complex analytical concepts to non-technical stakeholders through clear documentation and visualisation
  • Proven leadership capability — able to mentor junior team members and lead small project teams
  • Strategic mindset with the ability to prioritise high-impact opportunities and manage detailed tasks across multiple parallel projects
  • Effective collaborator across business, IT, and external vendor relationships
  • Business-level proficiency in Japanese and English Languages

Desired Qualifications

  • 5+ years of experience in pharmaceutical, healthcare, or life sciences industry strongly preferred (consulting experience in pharma commercial analytics also valued)

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