どんな仕事かAIによる生成

This role leads real-world evidence research and real-world data analyses to inform business decisions and support internal decision-making and external scientific communication. It develops and applies Japan-relevant RWD assets and analytical approaches, and provides methodological expertise to colleagues and stakeholders.

応募資格・募集要項・仕事内容を見る

応募資格

必須

Masters’s degree or higher in public health, epidemiology, biostatistics, statistics, data science, or a related quantitative discipline
Strong written and verbal communication skills in both English and Japanese
Strong programming skills and knowledge of data management and extract, transform, and load (ETL) processes for large-scale RWD
Demonstrated ability to analyze RWD using appropriate advanced methods, with knowledge of AI and ML approaches
Demonstrated leadership and ability to collaborate effectively in cross-functional teams
Scientific rigor combined with a clear understanding of business needs
Experience authoring publications in peer-reviewed scientific or medical journals
Competency Required:
- Teamwork, networking, and interpersonal skills
- Ability to engage external stakeholders and contribute to shaping the external environment
- Ability to translate organizational vision and strategy into action

歓迎

PhD in epidemiology, biostatistics, statistics, data science, or a related discipline
Advanced knowledge of, or practical experience in, statistics, epidemiology, and AI/ML
Experience analyzing RWD from claims databases, electronic health records, registries, or other large epidemiological or clinical datasets

求める人物像

Innovative and creative thinking
Results orientation
Initiative
Adaptability

募集要項最終確認 11/9

職種: データサイエンティスト
雇用形態: 記載なし
役職: Senior Manager
給与: 記載なし
勤務地: 東京都Tokyo
働き方: Work Location Assignment: On Premise
学歴: 大学院修了以上
掲載日: 2026/10/13 06:34（28日前）
最終確認: 2026/11/09 00:34（1日前）

仕事内容

Primary Function

Source, interpret, generate, and communicate high-quality, timely real-world evidence and insights to inform business decisions across therapeutic areas and serve as an RWE expert in engagements with external stakeholders.
§ Lead RWD analyses and collaborate with key stakeholders across global, regional, and Japan-based functions, as well as external partners, to develop, maintain, and appropriately use Japan-relevant RWD assets and analytical environments.
§ Lead the evaluation and implementation of innovative data sources and advanced analytical approaches, including artificial intelligence (AI) and machine learning (ML), where appropriate.

Main Responsibilities

§ Design and execute RWE research projects that address relevant medical and business questions. Develop study protocols, case report forms, questionnaires, statistical analysis plans, and study reports, as applicable. Projects may include patient-reported outcome studies, retrospective and prospective observational studies, and analyses that provide evidence inputs for health economic evaluations to demonstrate the value of Pfizer products.
§ Lead the sourcing, interpretation, and generation of RWE to support internal decision-making and appropriate external scientific communication. Collaborate with Medical Affairs, Marketing, Digital, Policy, and other relevant stakeholders in Japan and globally to develop and apply evidence that supports the value of Pfizer products.
§ Lead and conduct analyses for RWD projects, ensuring appropriate quality assurance and quality control throughout the project lifecycle.
Provide RWD methodological and technical expertise, consultation, and training to relevant colleagues. Develop and review materials for Access & Value, Medical Affairs, Marketing and other stakeholders from an RWE technical perspective, and present evidence to external stakeholders when appropriate.
Ensure that all activities comply with applicable laws, regulations, corporate policies, procedures, and quality standards.

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