Manager, Clinical Data Scientist

IND - 2028 Takeda Innovations India Private Limited; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Takeda Pharmaceutical Co. in Bengaluru seeks a Manager-level Clinical Data Scientist to apply statistical and data science methods to support clinical development programs.

You will deliver analysis-ready data, quantitative analyses, visuals, and summaries for studies, while promoting automation and robust workflows. You will collaborate across functional teams to drive high-quality, traceable data for submission-ready outputs and contribute to AI/ML-enabled initiatives with strict regulatory

Qualifications

• PhD/MS with substantial clinical data science experience in pharma/biotech environments.
• Strong foundation in statistics and quantitative methods used in drug development.
• Experience translating clinical questions into reproducible analyses and data-driven decisions.

Responsibilities

• Execute clinical data science activities to deliver high-quality analyses and insights for studies.
• Develop analysis-ready datasets and reproducible analytics workflows.
• Collaborate with cross-functional teams to support study decisions and data quality.

Skills

Clinical trial design

Statistics

Cross-functional teamwork

Data interpretation

R

Python

SAS

SQL

CDISC SDTM/ADaM

AI/ML in clinical

Education

PhD in statistics/biostatistics/data science/related field

MS with 3+ years relevant experience

Tools

R

Python

SAS

SQL

Job description

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

Company

Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do. We live our values of Takeda-ism – Integrity, Fairness, Honesty, and Perseverance – and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. At Takeda, you will make an impact on people’s lives – including your own.

Equal Opportunity

Takeda is an equal opportunity employer. For applicants of U.S and Puerto Rico positions: learn about our commitment to Equal Employment Opportunity (EEO). If you are limited in the ability to use our job application tool, or otherwise require a reasonable accommodation for a disability.