DATA 部門 - Data Scientist-Pharma Analytics

Job Description

Duties and Responsibilities:

• Serve as a subject matter expert (SME) on Japan’s pharmaceutical and healthcare data landscape, supporting clients in navigating complex data ecosystems for commercial and sales reporting.
• Engage directly with life sciences clients, both domestic and multinational, to understand business needs and translate them into actionable data science solutions.
• Analyze and interpret data from sources such as IQVIA, Veeva, and local vendors (e.g., JMDC, Medical Data Vision, Nihon Ultmarc), ensuring insights are aligned with Japan’s unique hierarchical data models.
• Collaborate with offshore delivery teams to ensure seamless execution of analytics projects, acting as a bilingual bridge between client stakeholders and technical teams.
• Contribute to the development of analytics strategies, data pipelines, and machine learning models tailored to commercial effectiveness, patient journey analysis, and real-world evidence (RWE).
• Mentor junior team members and contribute to internal capability building within the Insights & Data team.

Requirements and Qualifications:

Technical skills

• At least 5, preferrably 10+ years of experience in data science and analytics, with a strong focus on the pharmaceutical or healthcare sector in Japan. Consulting background preferred.
• Deep understanding of Japan-specific health data sources and vendors; familiarity with IQVIA, Veeva, and local data providers like JMDC and MDV is highly desirable.
• Proficiency in data analysis tools and languages such as Python, R, SQL, and experience with cloud platforms (e.g., Azure, AWS, GCP) is a plus.
• Problem-solving skills with strong analytical ability to troubleshoot complex issues.
• Ability to work well in a team environment and contribute to collective goals. Native-level fluency in Japanese (native or JLPT N1 or equivalent) and business-level proficiency in English.
• Ability to work flexibly across client environments—remote, hybrid, or on-site as required.

Educational Profile:

• bachelor’s or Master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Life Sciences, Public Health, or a related discipline.
• Additional certifications in data science, cloud platforms, or pharmaceutical analytics are a plus.

Job Description - Grade Specific

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives.