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[A&V] RWE Senior Manager, Analytics Expert

Pay
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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.
Education & alternatives
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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Status in our records
Live
First seen by us
Oct 12, 202622 days ago
Recorded sightings
62
Last seen by us
Nov 4, 2026

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Day 22

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19 open jobs

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About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗



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.

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.

 

 

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Location & working pattern

Japan - Tokyo

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