非公開
The Associate Director, Data Scientist is responsible for applying advanced analytics, machine learning, epidemiology, and real-world data methods to support AstraZeneca Japan’s commercial PDCA cycle and evidence-based decision-making. The role builds and maintains models for territory planning, HCP targeting, performance monitoring, sales target setting, new patient forecasting, gap analysis, corrective action recommendations, and evaluation of commercial interventions. It also leads root cause analysis to explain performance gaps across HCPs, facilities, regions, channels, and time periods.
The role leverages Japan-specific real-world data sources such as MDV, JMDC, NDB, and DPC, together with public health and policy data, to generate insights for market shaping, brand strategy, patient journey analysis, care pathway optimization, HTA, value demonstration, and post-marketing surveillance. Epidemiological methods are used to estimate patient populations, diagnosis rates, treatment patterns, and care gaps across therapy areas.
The position develops forecasting and scenario simulation models that incorporate epidemiology, market dynamics, competitive activity, policy signals, and pricing assumptions. These models inform long-range planning, brand planning, investment decisions, and resource allocation.Technically, the role designs analytical pipelines and platforms that integrate structured data, RWD, and public information for scalable machine learning applications. It promotes modern methods such as deep learning, NLP, agentic AI, and parallel computing, while ensuring model quality, reproducibility, version control, monitoring, and retraining.The role also partners with brand teams, market access, medical affairs, business excellence, IT, external vendors, and analytics partners to translate business questions into analytical solutions, manage project delivery, and communicate insights through clear visualization, documentation, and storytelling.
Finally, it contributes to capability building by mentoring junior professionals, promoting analytical best practices, and supporting the CET data science community.
ワークライフバランスの良さや、社内(国内外)での豊富なキャリアパスが用意されている点が特徴のグローバル企業です。