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Japan - Tokyo
Live, first seen by us 22 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and run RWE research projects, including observational and patient-reported outcome studies
Lead RWD analyses with quality assurance and quality control throughout each project
Evaluate and implement new data sources and AI/ML analytical approaches
Write study protocols, statistical analysis plans and study reports
Provide RWD methods expertise and training to colleagues and present evidence externally
Design and execute RWE research projects that address relevant medical and business questions.
Lead and conduct analyses for RWD projects, ensuring appropriate quality assurance and quality control throughout the project lifecycle.
Lead the evaluation and implementation of innovative data sources and advanced analytical approaches, including artificial intelligence (AI) and machine learning (ML), where appropriate.
Develop study protocols, case report forms, questionnaires, statistical analysis plans, and study reports, as applicable.
Provide RWD methodological and technical expertise, consultation, and training to relevant colleagues.
Preferred § PhD in epidemiology, biostatistics, statistics, data science, or a related discipline § Advanced knowledge of, or practical experience in, statistics, epidemiology, and AI/ML
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Day 22
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
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.
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Japan - Tokyo
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