データサイエンティスト
【Common】 ・Understanding and applying key principles of data science. ・Ability to proactively identify issues and solutions and to interact with internal and external bodies on routine data science issues. ・Ability to lead and facilitate meetings. ・Evidence of strong teamwork, including in global and remote contexts. ・Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management). ・Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively. ・Language skills: English: fluent (Read/Write/Speak). ・Master of Science (MSc) in Statistics, Mathematics, Computer Science or related field, and 3 years within the pharmaceutical industry, CROs, regulatory authorities or academic institutions 【Principal Clinical Data Scientist/Non Line Manager】 ・Advanced experiences serving as the primary statistician for multiple PMDA consultations and new drug applications. ・Broad knowledge and advanced experience in understanding clinical drug life cycle process (e.g. clinical trial development process). ・Thorough knowledge of statistical methodology and in-depth understanding of advanced statistical concepts. ・Broad knowledge and advanced experience in software languages relevant for business needs (SAS, R), including advanced working knowledge across a wide range of aspects. ・Advanced project lead experience. ・Ability to develop and deliver training related to data science topics. 【Senior Clinical Data Scientist/Staff】 ・Experiences serving as the primary statistician for PMDA consultations and new drug applications. ・Advanced experience in understanding clinical drug life cycle process (e.g. clinical trial development process). ・Sound knowledge of statistical methodology and understanding of advanced statistical concepts. ・Advanced experience in software languages relevant to business needs (SAS, R), with proficiency in practical use. |
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