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| 部署・役職名 | Senior Clinical Data Scientist/Staff/Experimental Medicine Japan D＆A |
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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 lifecycle process （research, development, market access, and market supply）by providing: ・Strategic planning and execution ・Data transformation ・Descriptive analytics ・Diagnostic analytics ・Predictive analytics ・Prescriptive analytics Work involves data from: ・Clinical trials ・Clinical registries ・Real－world databases Responsibilities include providing: ・Analytics tools ・Data outputs ・Scientific insights and inference May also: Act as an ExpMED Product Owner at the project/asset level Represent ExpMED regarding data science－related activities on projects and assets 【Key Accountabilities】 1. Data Transformation, Analysis ＆ Reporting Responsible for: ・Transforming, analyzing and reporting data from Phase I－IV clinical trials ・Supporting complex clinical studies and projects ・Analyzing data from registries and real－world databases ・Delivering analytics aligned with project and asset needs Success Measures ・Quality deliverables ・Timeline adherence ・Feedback from development teams, Product Owners （POs）, and capability managers 2. Innovation in Data Science ・Stay current with developments in data science ・Explore new transformation and analytical approaches ・Introduce innovative tools and processes inside and outside Success Measures ・Quality of new analytical solutions ・Innovation impact ・Stakeholder feedback 3. Data Storytelling ＆ Communication ・Present compelling, validated data science stories ・Explain data science concepts to stakeholders with limited technical backgrounds ・Communicate insights clearly across company Success Measures ・Quality and frequency of presentations ・Audience understanding and feedback 4. Specifications ＆ Compliance ・Ensure data transformation and analysis specifications are: Complete Correct SOP－compliant GxP－compliant Success Measures ・Quality and regulatory acceptance of specifications 5. Internal ＆ External Support ・Support colleagues ・Support internal customers ・Support external providers on data science activities Success Measures ・Stakeholder satisfaction ・Knowledge sharing within the CDS Community of Practice 6. Cross－Functional Leadership ・Participate in One Human Pharma working groups ・Lead ExpMED working groups when applicable ・Drive data science－related initiatives Success Measures ・Quality of participation ・Leadership effectiveness ・Impact of working group outcomes ・Feedback from Global Product Owners and Product Owners 7. Product Owner Responsibilities （If Applicable） ・Support clinical drug lifecycle activities as an ExpMED Product Owner Success Measures ・Product deliverable quality ・Leadership effectiveness ・Timeline adherence ・Stakeholder feedback 8. Cross－Functional Collaboration ・Foster team－based working within ExpMED ・Collaborate with neighboring functions across company ・Perform cross－functional activities when required Success Measures ・Quality and frequency of collaboration ・Stakeholder feedback 【Regulatory ＆ Organizational Requirements】 Must understand and implement: International Regulations ・Good Clinical Practice （GCP） ・Good Statistical Practice ・ICH regulations across all regions Clinical Development Guidelines ・Clinical development methodologies ・Statistical methodologies ・Therapeutic Area－specific development requirements Internal Requirements ・Company processes ・Standard Operating Procedures （SOPs） ・Clinical Development Plan requirements Additional Regulations （when applicable） ・Good Laboratory Practice （GLP） ・Good Manufacturing Practice （GMP） 【Job Complexity】 ・Solves complex but defined problems ・Mainly operational with limited strategic impact ・Must consider requirements across multiple functions and departments 【Interfaces】 Works closely with teams across company, including: ・GCO ・GPV ・Therapeutic Areas ・TMCP ・GRA ・Research ・Development ・Pharma Supply Represents regarding: ・Statistical planning ・Data transformation ・Data analysis ・Regulatory requests related to trials, projects and assets 【Job Expertise】 Required expertise includes: Data Science ・Understanding and application of key data science principles ・Advanced capability in: Planning analyses Data transformation Statistical analysis Interpretation of results Reporting Technical ・Advanced experience with software programming languages relevant to business needs Industry ＆ Clinical Development ・Advanced understanding of the clinical drug development lifecycle ・Clinical trial development experience Leadership ・Project leadership experience required Experience Requirements Master's Degree （MSc）: Minimum 3 years experience in: Pharmaceutical industry CROs Regulatory authorities Academic institutions Bachelor's Degree: Minimum 5 years of data science experience Relevant deep expertise may partially compensate for years of experience. 【Job Impact】 Responsible for: ・Analysis of clinical drug lifecycle data ・Communication of results to internal and external customers ・Independent decision－making related to analytical activities ・Delivering insights adapted to customer needs |
| 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）】 【Education Requirements】Bachelor of Science （BSc） or Master of Science （MSc） in: ・Statistics ・Mathematics ・Computer Science ・Data Science ・Psychology ・Finance ・Related quantitative disciplines 【Required Capabilities】 Statistical ＆ Scientific Knowledge ・Strong statistical methodology knowledge ・Experimental design knowledge ・Clinical trial design knowledge ・Understanding of clinical trial terminology ・Knowledge of information processing in clinical development Advanced Analytics ・Understanding of advanced statistical concepts used in Data Science Technical Skills ・Proficient use of relevant programming/software languages Communication ・Fluent English （Read / Write / Speak） ・Strong communication and presentation skills Leadership ・Ability to lead and facilitate meetings ・Project leadership capability Collaboration ・Strong teamwork ・Experience working globally and remotely ・Effective stakeholder management Interpersonal Skills ・Ability to interact with: CROs External experts Management Internal stakeholders Problem Solving ・Proactively identify issues ・Propose solutions ・Work independently on routine data science challenges Cultural Awareness ・Awareness of local, global, internal and external cultures to ensure effective communication and collaboration Quick Candidate Snapshot Ideal profile: MSc ＋ 3 years （or BSc ＋ 5 years） in Data Science, Biostatistics, Clinical Analytics, or a related field Strong statistical analysis and programming skills Experience analyzing clinical trial, registry, or real－world data Understanding of clinical development and pharmaceutical R＆D Experience with stakeholder communication and data storytelling Project leadership experience Fluent English Able to translate complex data into business and scientific insights |
| 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 | 2026/07/16 |
| 求人番号 | 9136429 |
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