[A&V] RWE Senior Manager, Analytics Expert

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.

Responsibilities

Source, interpret, generate, and communicate high-quality, timely real-world evidence and insights to inform business decisions across therapeutic areas; 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 AI and ML, where appropriate; 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; Lead the sourcing, interpretation, and generation of RWE to support internal decision-making and external scientific communication; Collaborate with Medical Affairs, Marketing, Digital, Policy, and other relevant stakeholders in Japan and globally; Lead and conduct analyses for RWD projects, ensuring 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; Present evidence to external stakeholders when appropriate; Ensure all activities comply with applicable laws, regulations, corporate policies, procedures, and quality standards

Requirements

Master'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

Nice to have

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; 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