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Job DescriptionAbout the role:At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on four therapeutic areas and other targeted investments, we push the boundaries of what is possible in order to bring life-changing therapies to patients worldwide.
You will serve as a Manager-level Clinical Data Scientist within Data and Quantitative Sciences, using statistical, data science, and analytical methods to support clinical development programs. You will work with cross-functional study teams to deliver analysis-ready data, quantitative analyses, visualizations, and interpretation summaries for assigned studies or workstreams. You will support fit-for-purpose statistical, data science, and advanced analytics activities under the direction of study and functional leadership.
You will also collaborate with team members to help ensure high-quality, traceable, analysis-ready, and submission-ready data. In this role, you will apply modern clinical data science practices, including automation, reusable analytics workflows, and approved artificial intelligence and machine learning approaches, while keeping scientific rigor, regulatory awareness, and patient-focused decision making at the center of your work.
How you will contribute:
• Execute clinical data science activities for assigned studies or workstreams, helping deliver timely high-quality analyses, data review, and quantitative insights that support study goals.
• 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 that need further review.
• 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, helping ensure they meet established standards, processes, and quality expectations.
• Communicate risks related to data quality, analytical assumptions, timelines, and quantitative outputs to study leadership and functional team members.
• Contribute to 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; or a Master of Science with 3 or more years of relevant experience.
• Experience contributing to quantitative analyses and data science activities within pharmaceutical, biotechnology, healthcare research, or other regulated clinical development settings.
• 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.
• 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 different disciplines to achieve study goals.
• 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 Clinical Data Interchange Standards Consortium standards, including Study Data Tabulation Model, Analysis Data Model, 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 artificial intelligence and machine learning and advanced analytics in regulated clinical development, including model development, validation, documentation, assumptions, bias considerations, and fit-for-purpose deployment.
• Awareness of Food and Drug Administration, European Medicines Agency, International Council for Harmonisation Good Clinical Practice, Good Practice, 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.
• 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 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; alternatively, an MS with at least 3 years of relevant experience.
- Experience contributing to quantitative analyses and data science activities in pharmaceutical, biotechnology, healthcare research, or regulated clinical development settings.
- Experience working with clinical trial data and at least one additional data type, such as biomarker, real-world, external, imaging, digital health, or high-dimensional data.
- 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 disciplines.
- Working knowledge of clinical trial design, drug development, endpoints, estimands, biomarkers, data interpretation, and clinical decision-making analytics.
- 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 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 clinical, biomarker, real-world, external, imaging, digital health, or high-dimensional data sources.
- Practical understanding of artificial intelligence, machine learning, and advanced analytics in regulated clinical development.
- Awareness of FDA, EMA, ICH Good Clinical Practice, data privacy, inspection readiness, and traceability expectations.
- Ability to create analysis specifications, visualization approaches, documentation, and interpretation summaries for varied audiences.
- Familiarity with modern data platforms, reusable analytics workflows, automation, metadata-driven processes, and governed data standards.
- Strong communication, collaboration, judgment, problem-solving, accountability, and commitment to reproducible, high-quality work.
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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