· + Responsible for conducting MAF studies in the assigned studies as a data scientist in alignment with IEGP (Integrated Evidence Generation Plan) + Contribute IEGP development to providing knowledge of data science and biostatistics + Responsible for leading process excellence in study data analysis activities + Analyze and identify opportunities and challenges for evidence generation, and propose new initiatives + Support to resolve difficult situation in-depth professional knowledge and experience. Serve as an advisor to others on complex matters. + Responsible for leading data science related activities involving other functions (IMAT, R&D, BU, Global/APAC MAF, Global Development) beyond Japan MAF + Responsible for improving the performance and motivation of members in the department + Managing evidence generation / publication in align with brand strategy in a compliant manner of internal and external regulations + Developing MAF study and publication plan aligned with brand strategy/IEGP + Executing MAF study in collaboration with TA and MAO + Developing SAP (Statistical analysis plan) aligned with study protocol + Providing high-quality TFL and TLR in timely manner + Project management for data science and biostatistics (schedule, budget) + Vendor management for data science and biostatistics + Enhancing Data Science capability in Medical affairs + Providing training sessions for MAF members to develop adequate study protocol + Gathering the up-to-date trends in the pharma industry and using them for EG strategy **Qualifications** + Master's degree or equivalent academic knowledge in science and engineering, such as medicine, pharmacy, science, engineering, information processing, computer science, mathematics + Work experience of 4 years and above as data scientist or/and biostatistician in pharmaceutical industry Work experience in processing, and analyzing large-scale medical information databases in the medical industry, such as pharmaceuticals, medical devices. LIST JOB SPECIFIC COMPETENCIES/SKILLS REQUIRED: 1. Professional knowledge of programming language (Python or R) or analysis software (SAS, SPSS, etc.) 2. Interpersonal flexibility to effectively interact with a broad range of personnel in a cross-functional team environment 3. Future oriented and strategic thinking with attention to detail 4. Business level of Japanese and English communication 5. Well understanding of local regulations and practices in pharmaceutical industry Awareness of, and adherence to, Johnson & Johnson Credo value The role involves extensive interactions with : + MAF members (MAF-TA, MAO etc.) + Data science and Evidence generation related functions (IMAT, R&D, Epidemiology, MedTech, Vision Care, IT etc.) + MALT (MAF leadership team) + Global APAC Data science functions + External vendors (CRO, Database vendor, programing, new technology including AI, RPA)