[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Takeda Pharmaceutical jobs](https://jobs.opennash.com/companies/takeda-pharmaceutical/) · [Search jobs](/search/) Takeda Pharmaceutical # Manager, Clinical Data Scientist Manager or lead Data & Analytics Listed on Takeda Pharmaceutical’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there. [Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/manager-clinical-data-scientist/1113/101611813712) [OpenNash Jobs](https://jobs.opennash.com/) / [Takeda Pharmaceutical](https://jobs.opennash.com/companies/takeda-pharmaceutical/) / Manager, Clinical Data Scientist ## Job description By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. ### Job Description Objective / Purpose: - Serve as a Manager-level Clinical Data Scientist within Data & Quantitative Sciences, applying statistical, data science, and analytical methods to support clinical development programs. - Contribute to cross-functional study teams by delivering analysis-ready data, quantitative analyses, visualizations, and interpretation summaries for assigned studies or workstreams. - Support fit-for-purpose statistical, data science, and advanced analytics activities under the direction of study and functional leadership. - Collaborate with cross-functional team members to support high-quality, traceable, analysis-ready, and submission-ready data. - Apply modern clinical data science practices, including automation, reusable analytics workflows, and approved AI/ML-enabled approaches, while maintaining scientific rigor, regulatory awareness, and patient-focused decision making. ### Accountabilities - Execute clinical data science activities for assigned studies or workstreams, 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. - Translate scientific and clinical questions into analysis-ready datasets, analysis specifications, and reproducible analytical workflows with guidance from senior team members. - Support integrated data review activities by identifying data trends, inconsistencies, and potential risks requiring further investigation. - Apply established statistical, machine learning, simulation, and visualization methods to support interpretation of study results and development decisions. - Review and contribute to outputs produced by internal teams and external partners, ensuring adherence to established standards, processes, and quality expectations. - Communicate risks related to data quality, analytical assumptions, timelines, and quantitative outputs to study leadership and functional stakeholders. - Contribute to continuous improvement efforts through automation, reusable code, standard methodologies, and adoption of approved technologies and workflows. ### Education & Competencies (Technical and Behavioral) Education / Experience - PhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or related field; or MS with 3+ years of relevant experience. Equivalent combinations should be reviewed with HR. - Experience contributing to quantitative analyses and data science activities within pharmaceutical, biotechnology, healthcare research, or other regulated clinical development environments. - Demonstrated ability to support clinical development decisions through quantitative analysis, data interpretation, and clear communication of evidence. - Experience working effectively on cross-functional study teams and collaborating across functional disciplines to achieve study objectives. - Experience working with clinical trial data and at least one additional data type such as biomarker, real-world, external, imaging, digital health, or other high-dimensional data sources. Highest-priority ### Technical Skills - Working knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and the role of analytics in clinical decision making. - Solid foundation in statistics and quantitative methods, including longitudinal analysis, survival methods, causal reasoning, simulation, predictive modeling, and communication of uncertainty. - Hands-on proficiency in R and/or Python, with working knowledge of SAS and SQL; ability to develop and support reproducible analyses, code quality, version control, and validated workflows. - Working knowledge of CDISC standards, including SDTM, ADaM, controlled terminology, Define-XML concepts, and submission-oriented data expectations. - Ability to integrate, analyze, and interpret diverse data sources, including clinical trial, biomarker, real-world, external, imaging, digital health, or high-dimensional data as appropriate to assigned studies. - Practical understanding of AI/ML and advanced analytics in regulated clinical development, including model development, validation, documentation, assumptions, bias considerations, and fit-for-purpose deployment. - Awareness of FDA, EMA, ICH-GCP, GxP, data privacy, inspection readiness, and traceability expectations relevant to clinical data and quantitative deliverables. - Ability to create clear analysis specifications, visualization approaches, documentation, and interpretation summaries suitable for scientific, operational, and study-team audiences. - Familiarity with modern data platforms, reusable analytics workflows, automation, metadata-driven processes, and governed data standards. ### Behavioral Competencies - Communicates quantitative findings clearly to scientific, operational, technical, and study-team audiences. - Builds effective working relationships across study teams and functional partners. - Demonstrates technical credibility, sound judgment, and collaborative problem-solving skills. - Balances scientific rigor, quality, and timely delivery while proactively communicating risks and issues. - Demonstrates accountability for assigned deliverables and commitment to reproducible, traceable, high-quality work. - Embraces continuous learning and adoption of innovative analytical methods, automation, and AI-enabled approaches. Locations IND - Bengaluru - Research and Development Worker Type Employee Worker Sub-Type Regular Time Type Full time ## At a glance - Posted by the employer: Not stated - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 18, 2026 - Listed for: 7 days[Apply on Takeda Pharmaceutical’s careers site →](https://jobs.takeda.com/job/bengaluru/manager-clinical-data-scientist/1113/101611813712) ## More jobs at Takeda Pharmaceutical ### [Associate Director - Process Analytics Lead (US)](https://jobs.opennash.com/companies/takeda-pharmaceutical/jobs/409650edfb20d7e5360b/) ### [Associate Director - Process Analytics Lead, Analytics Development, R&D, Fujisawa (i-Park)](https://jobs.opennash.com/companies/takeda-pharmaceutical/jobs/80bfc6ffe1d505cf7044/) ### [Associate Director, Clinical Data Management](https://jobs.opennash.com/companies/takeda-pharmaceutical/jobs/509cf1269e8e600fa1a6/) ### [Associate Director, Clinical Data Scientist](https://jobs.opennash.com/companies/takeda-pharmaceutical/jobs/5d45f5d9e0944e4cb8d7/) ## Similar jobs at other companies ### [Clinical Scientist IRM - Lyon (h/f/nb)](https://jobs.opennash.com/companies/siemens/jobs/0b308c6e1c9b087f281d/) Siemens ### [Data Scientist](https://jobs.opennash.com/companies/siemens/jobs/e2267a8bfe2ac1344f96/) Siemens ### [Data Scientist](https://jobs.opennash.com/companies/accenture/jobs/b5d78963df9d2b26f975/) Accenture ### [Principal Clinical Data Scientist](https://jobs.opennash.com/companies/novartis/jobs/02195e0ac7f093b30f9a/) Novartis ### [Sr. People Data Scientist](https://jobs.opennash.com/companies/sandisk/jobs/c86086aa2751bea58eb4/) Sandisk OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)