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Job DescriptionAbout the role:You will serve as a Senior Manager-level Clinical Data Scientist within Data and Quantitative Sciences, applying statistical, data science, and analytical methods to support clinical development programs. You will partner with cross-functional study teams to deliver analysis-ready data, quantitative analyses, interpretation of results, and decision-support insights.
You will also help advance modern clinical data science practices through automation, reusable analytics workflows, and artificial intelligence and machine learning enabled approaches, while keeping scientific rigor, regulatory awareness, and patient-focused decision making at the center of your work.
How you will contribute:
• Perform exploratory analyses, data visualizations, and quantitative assessments using clinical trial, biomarker, external, and real-world data sources.
• Apply statistical, machine learning, simulation, and visualization methods to help interpret study results and inform development decisions.
• Translate scientific and clinical questions into analysis-ready datasets, specifications, and reproducible analytical workflows.
• Deliver clinical data science activities for assigned studies, including timely analyses, data review, and quantitative insights that support study objectives.
• Support integrated data review by identifying data trends, inconsistencies, and potential risks that need further review.
• Review analysis outputs, visualizations, and technical documentation to help ensure quality, traceability, and reproducibility.
• Review and contribute to analysis outputs produced by internal teams and external partners, ensuring quality and alignment with established standards and processes.
• Identify and communicate risks related to data quality, analytical assumptions, timelines, and quantitative outputs to functional partners.
• Collaborate with Clinical Data Management, Clinical Pharmacology, PSPV, Clinical Operations, and Translational Sciences to support study objectives and evidence generation.
• Share technical expertise and support onboarding and development of less experienced team members.
• Contribute to departmental standards, process improvements, and technology adoption initiatives as assigned.
• Support continuous improvement through automation, reusable code, standard methods, and adoption of approved technologies and workflows.
Minimum Requirements/Qualifications:
• PhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or a related field with 3 or more years of relevant experience; or a master’s degree with 6 or more years of relevant experience. Equivalent combinations should be reviewed with Human Resources.
• Experience supporting quantitative analyses and data science activities within pharmaceutical, biotechnology, healthcare research, or other regulated clinical development environments.
• Demonstrated ability to contribute to clinical development decisions through quantitative analysis, data interpretation, and clear communication of evidence.
• Experience working on cross-functional study teams and collaborating across 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.
• Strong knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and the role of analytics in clinical decision making.
• Strong 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, and the ability to support reproducible analyses, code quality, version control, and validated workflows.
• Working knowledge of Clinical Data Interchange Standards Consortium standards, including Study Data Tabulation Model, Analysis Data Model, controlled terminology, Define-XML concepts, and submission-oriented data expectations.
• Knowledge of Food and Drug Administration, European Medicines Agency, International Council for Harmonisation Good Clinical Practice, GxP, data privacy, inspection readiness, and traceability expectations relevant to clinical data and quantitative deliverables.
• Practical understanding of artificial intelligence and machine learning in regulated clinical development, including model development, validation, documentation, assumptions, bias considerations, and fit-for-purpose deployment.
• Familiarity with modern data platforms, reusable analytics workflows, automation, metadata-driven processes, and governed data standards.
• Ability to develop clear analysis specifications, visualization approaches, documentation, and interpretation summaries for scientific, operational, and study team audiences.
Additional Preferred Competencies
• Communicates quantitative findings clearly to scientific, operational, technical, and leadership audiences.
• Builds effective working relationships across study teams and functional partners.
• 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.
• Demonstrates strong technical credibility, sound judgment, and collaborative problem-solving skills.
• Embraces continuous learning and adoption of new analytical methods, automation, and artificial intelligence enabled approaches.
More about us:
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
This position is currently classified as "hybrid" following Takeda's Hybrid and Remote Work policy.
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LocationsWarsaw, PolandWorker TypeEmployeeWorker Sub-TypeRegularTime TypeFull timeSkills Required
- PhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or a related field with 3 or more years of relevant experience; or a master's degree with 6 or more years of relevant experience.
- Experience supporting quantitative analyses and data science activities in pharmaceutical, biotechnology, healthcare research, or regulated clinical development environments.
- Experience contributing to clinical development decisions through quantitative analysis, data interpretation, and communication of evidence.
- Experience working on cross-functional study teams.
- Experience with clinical trial data and at least one additional data type, such as biomarker, real-world, external, imaging, digital health, or high-dimensional data.
- Strong knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and analytics for clinical decision-making.
- Strong foundation in statistics and quantitative methods, including longitudinal analysis, survival methods, causal reasoning, simulation, predictive modeling, and uncertainty communication.
- Hands-on proficiency in R and/or Python, with working knowledge of SAS and SQL.
- Ability to support reproducible analyses, code quality, version control, and validated workflows.
- Working knowledge of CDISC standards, including SDTM, ADaM, controlled terminology, Define-XML, and submission-oriented data expectations.
- Knowledge of FDA, EMA, ICH GCP, GxP, data privacy, inspection readiness, and traceability expectations.
- Practical understanding of AI and machine learning in regulated clinical development, including model validation, documentation, bias, and fit-for-purpose deployment.
- Familiarity with modern data platforms, reusable analytics workflows, automation, metadata-driven processes, and governed data standards.
- Ability to develop analysis specifications, visualization approaches, documentation, and interpretation summaries for varied audiences.
Takeda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Takeda and has not been reviewed or approved by Takeda.
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Retirement Support — Employer-funded retirement is described as notably strong, combining a dollar-for-dollar 401(k) match with an additional company contribution that scales with age and service. Access to an employee stock purchase plan further supports long-term wealth building.
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Parental & Family Support — Paid bonding leave for all parents, substantial adoption/surrogacy reimbursement, and robust caregiver resources (backup care and Maven family-forming support) are emphasized as core strengths. These offerings create a comprehensive safety net for a range of family situations.
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Healthcare Strength — Multiple medical plan options (nationwide PPO/HSA and regional HMOs), employer HSA funding, and integrated mental-health and well-being programs signal depth in coverage. Preventive care is covered in-network, and plan choices by state expand access.
Takeda Insights
What We Do
For over 240 years, Takeda’s propensity to evolve has driven the next generation of innovation, and as a future-focused organization, we’re continuing to drive forward with endurance in our steadfast pursuit to achieve the best outcomes for our patients in a rapidly changing world. We have been preparing for this period of value creation by investing in data, digital and technology, and we’re proud of our employees and their commitment to turning groundbreaking ideas into life-changing impacts. Since our founding in Japan, integrity and putting patients first have been at the heart of our identity, and we will emerge ready for our future as one of the most trusted and science-driven digital biopharmaceutical companies. Join a team where your innovation impacts lives. Together, we’ll realize improved outcomes by improving data quality, enhancing launch execution and improving the patient journey. You’ll play a critical role in accelerating data collection and increasing accuracy across all parts of the business. Patients across the globe will benefit from access to treatments afforded by greater opportunities and efficiency in our research and development.
Why Work With Us
We connect to our history and Japanese heritage through everything we do to bring our purpose, values, vision, and imperatives to life. We are committed to bringing better health and a brighter future to patients. Being a part of Takeda means having the opportunity to be a part of something bigger than yourself.
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