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This position is responsible for providing statistical expertise and leadership for clinical development and regulatory filing activities in Japan as a member of Global Biostatistical Science Japan Biostatistics. The role will focus primarily on Japan-specific submission-related activities, including new drug application in Japan, interactions with health authorities, document preparation such as CTD, and Japan-specific analyses and interpretations. Working closely with global and Japan cross-functional teams, this position will plan and execute the statistical strategies, analyses, documents, and regulatory responses required in Japan with a high level of quality.
Job Responsibility
Formulation and Execution of Statistical Strategy and Scientific Rationale for Clinical Development and Regulatory Submission Activities in Japan
Preparation, Review, and Oversight of JNDA-related Deliverables and Japan-specific Analysis
Statistical Contribution to Clinical Trials and Japan Local Activities
Operational Excellence
Requirements
Master’s degree in biostatistics, statistics or a statistics-related field
6 or more years of statistical experience in pharmaceutical, biotechnology, medical research, public health, or related fields
Practical experience and knowledge of clinical development, clinical trial methodology, statistical analysis, regulatory authority interactions, and the drug development process
Experience using statistical software such as SAS, R, and/or Python
Experience collaborating effectively with cross-functional teams and global members
Strong communication skills, with the ability to clearly explain statistical information both in writing and verbally
Business-level communication skills in both Japanese and English
Nice to have
PhD in biostatistics, statistics, epidemiology, data science or a statistics-related field
Experience supporting participation in multinational clinical trials from Japan, as well as Japan regulatory submissions based on MRCT data
Knowledge of CDISC standards, including SDTM and ADaM
Interest in or experience with emerging statistical methodologies, such as estimands, complex innovative designs, adaptive designs, and Bayesian methods
Experience leading business process improvements, standardization initiatives, internal training, or related capability-building activities