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Job Description:

Objective / Purpose:

• Serve as a Senior Manager-level Clinical Data Scientist within Data & Quantitative Sciences, applying statistical, data science, and analytical methods to support clinical development programs.
• Partner with cross-functional study teams to deliver analysis-ready data, perform quantitative analyses, interpret results, and generate decision-support insights.
• Deliver fit-for-purpose statistical, data science, and advanced analytics activities for assigned studies and study-level workstreams.
• Collaborate with Clinical, Clinical Pharmacology, PSPV, Clinical Data Management, Translational Sciences, Regulatory, Clinical Operations, Statistical Programming,



and external partners to support high-quality, traceable, analysis-ready, and submission-ready data.
• Apply up-to-date clinical data science practices, including automation, reusable analytics workflows, and AI/ML-enabled approaches, while maintaining scientific rigor, regulatory awareness, and patient-focused decision making.

Accountabilities:

• Execute clinical data science activities for assigned studies, ensuring timely delivery of high-quality analyses, data review, and quantitative insights that support study objectives.
• Perform exploratory analyses, data visualization, and quantitative assessments using clinical trial, biomarker, external, and real-world data sources.
• Collaborate with Clinical Data Management, Clinical Pharmacology, PSPV, Clinical Operations, and Translational Sciences to support study objectives and evidence generation.
• Translate scientific and clinical questions into analysis-ready datasets, specifica

📌 Senior Manager, Clinical Data Scientist (Bengaluru)
🏢 Takeda
📍 Bengaluru