Leads real-world evidence research and real-world data analyses across therapeutic areas, developing protocols, analytical plans, reports, and evidence for business, medical, market access, and external stakeholder decisions. Oversees innovative data sources, AI/ML methods, quality controls, regulatory compliance, stakeholder collaboration, technical consultation, training, and scientific communications in Japan and globally.
Primary Function
§ 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.
Experience & Background
Mandatory
§ 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
Preferred
§ 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
Competency Required:
§ Innovative and creative thinking
§ Teamwork, networking, and interpersonal skills
§ Ability to engage external stakeholders and contribute to shaping the external environment
§ Results orientation
§ Initiative
§ Adaptability
§ Ability to translate organizational vision and strategy into action
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Marketing and Market Research
- 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.
Experience & Background
Mandatory
§ 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
Preferred
§ 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
Competency Required:
§ Innovative and creative thinking
§ Teamwork, networking, and interpersonal skills
§ Ability to engage external stakeholders and contribute to shaping the external environment
§ Results orientation
§ Initiative
§ Adaptability
§ Ability to translate organizational vision and strategy into action
Work Location Assignment: On Premise
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers .
Marketing and Market Research
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