Clinical Data Science Manager — AI, Automation & Insights

Takeda; Warszawa; Hybrid; PLN 180.000 - 280.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Zusammenfassung

Takeda is seeking a Manager-level Clinical Data Scientist in Warsaw, Poland. You will lead data science activities across studies, delivering analysis-ready data, statistical analyses, and interpretable results for clinical development programs.

You will apply advanced analytics, automation, and ML approaches while ensuring regulatory rigor, traceability, and high-quality deliverables in a hybrid work setting.

Qualifikationen

• PhD or MSc with 3+ years in pharma or regulated clinical development.
• Experience with clinical trial data and at least one additional data type.
• Proficiency in R and/or Python; working knowledge of SAS and SQL.
• Ability to communicate evidence and support decisions.
• Experience working on cross-functional study teams.
• Knowledge of clinical trial design, endpoints, estimands, and analytics.
• Familiarity with CDISC standards and submission readiness.
• Ability to build reproducible analytics workflows.

Aufgaben

• Execute clinical data science activities for assigned studies.
• Perform exploratory analyses, data visualization, and assessments.
• Translate questions into analysis-ready datasets and workflows.
• Support data review and identify trends and risks.
• Apply statistical, ML, and simulation methods to support decisions.
• Review outputs for standards and quality.
• Communicate data quality risks to study leadership.
• Contribute to automation and reusable code.

Kenntnisse

R or Python

Statistics

Data visualization

SQL

Cross-functional teamwork

Communication of results

Ausbildung

PhD in statistics/biostatistics/data science/epidemiology or related

Master's with 3+ years experience

Tools

CDISC SDTM

Define-XML concepts

Automation tooling

Jobbeschreibung

Takeda is seeking a Manager-level Clinical Data Scientist in Warsaw, Poland. You will lead data science activities across studies, delivering analysis-ready data, statistical analyses, and interpretable results for clinical development programs.

You will apply advanced analytics, automation, and ML approaches while ensuring regulatory rigor, traceability, and high-quality deliverables in a hybrid work setting.