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| 部署・役職名 | Clinical Data Scientist/スタッフorノンラインマネージャー/医薬開発本部データサイエンス部クリニカルデータサイエンスグループ |
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| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
Basic purpose of the job Supports the complete clinical/pharmaceutical drug life cycle process （research, development, market access, market supply） by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to projects such as actual clinical trial data, clinical registries and real－world databases. In particular this includes the provision of analytics tools, outputs, and inference as necessary for the specific use case. Accountability 【Principal Clinical Data Scientist】 ・ Leads and oversees design, analysis, and reporting of complex clinical trials and international projects. ・ Creates and applies new data science approaches across the drug lifecycle. ・ Explains complex data science topics to internal and external experts. ・ Ensures data transformation and analysis specifications are complete, correct, and compliant with department guidelines, SOPs, and applicable GxP requirements. ・ Guides and leads team members and external vendors on data science－related tasks. ・ Leads cross－functional and external working groups on data science－related tasks. ・ Acts as Product Owner at the substance level to support the clinical drug life cycle process. ・ Drives digital innovation and advanced analytics initiatives. 【Senior Clinical Data Scientist】 ・ Performs analysis and reporting for clinical trials and supports complex studies. ・ Applies new analytical tools and processes. ・ Explains data science concepts to colleagues with basic knowledge. ・ Ensures data transformation and analysis specifications are complete, correct, and compliant with department guidelines, SOPs, and applicable GxP requirements. ・ Supports team members and external vendors on data science－related tasks. ・ Participates in One Human Pharma cross－functional working groups and leads BDS internal working groups on data science－related tasks. ・ Acts as Product Owner at the project level to support the clinical drug life cycle process. |
| 労働条件 |
契約期間：期間の定めなし 試用期間：あり（3カ月） 就業時間：8:45～17:20（うち休憩45分間） 休日：土日、祝日 その他各種会社休日あり（年間127日：2025年） 休暇：年次有給休暇（入社初日に6～16日を付与）、慶弔休暇・リフレッシュ休暇等各種有休特別休暇制度あり 残業：あり 給与改定：年1回（4月） 通勤手当：会社規定に基づき支給 社会保険：健康保険、厚生年金、労災保険、雇用保険 |
| 応募資格 |
【必須（MUST）】 【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】 ・ 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】 ・ 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. ・ Project lead experience. |
| リモートワーク | 可 「可」と表示されている場合でも、「在宅に限る」「一定期間のみ」など、条件は求人によって異なります |
| 受動喫煙対策 | 屋内禁煙 |
| 更新日 | 2026/02/06 |
| 求人番号 | 7200703 |
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転職・求人情報の詳細をご覧になる場合は会員登録（無料）が必要です