Director, Clinical Data Science & Statistics

Takeda; Warszawa; Hybrid; PLN 500,000 - 900,000; Full time

Job summary

Takeda in Warsaw, Poland, seeks a Director-level clinical data science leader to guide strategy, delivery, submission readiness, and team capability across studies and assets.

You will work across clinical, pharmacovigilance, data management, regulatory, and platform teams to deliver analytics-ready data and evidence for global regulatory use. This role requires strong leadership, ML/AI fluency, and a track record in regulated submissions.

Qualifications

• PhD in statistics, biostatistics, data science, epidemiology, biomedical engineering, computer science, quantitative sciences, or related field with 8+ years of experience; or a master’s with 12+ years.
• Extensive clinical development experience in pharma/biotech/healthcare research with cross-functional influence.
• Track record in regulatory submissions, health authority interactions, inspection readiness and submission-oriented analysis.
• Experience as a people manager with coaching, performance feedback, and talent development.
• Hands-on leadership across matrix teams, vendors, and distributed delivery models.

Responsibilities

• Lead design and interpretation of quantitative analyses across diverse data sources.
• Guide statistical methods, ML, simulation, and visualization for evidence and submission readiness.
• Set direction and delivery priorities aligned with regulatory strategy and timelines.
• Provide oversight of analysis plans, code, outputs, and documentation for regulatory submissions.
• Mitigate data quality and vendor risks, ensure traceability and inspection readiness.

Skills

Leadership

People management

R & Python

SAS & SQL

Statistical analysis

Data visualization

Regulatory liaison

Communication

Education

PhD in statistics/biostatistics/related field

Master's degree in related field

Tools

R

Python

SAS

SQL

Job description

Takeda in Warsaw, Poland, seeks a Director-level clinical data science leader to guide strategy, delivery, submission readiness, and team capability across studies and assets.

You will work across clinical, pharmacovigilance, data management, regulatory, and platform teams to deliver analytics-ready data and evidence for global regulatory use. This role requires strong leadership, ML/AI fluency, and a track record in regulated submissions.