Associate Director, Clinical Data Configuration
Takeda
August 23, 2026
Remote
United States
$154,400 - $242,550 USD yearly
Operations
Associate Director, Clinical Data Configuration (Remote; reporting to Director, Data Configuration Engineer)
Goals:
- Provide leadership for clinical data configuration, transformation, ingestion, and visualization activities supporting clinical trial conduct and development.
Accountabilities:
- Lead and develop Data Configuration Representatives; set priorities, allocate resources, and deliver data configuration/transformation capabilities for clinical trial execution across programs.
- Direct cross-functional/matrix teams and vendor delivery across data configuration, transformation, and visualization platforms; ensure alignment to enterprise data strategy and clinical program needs while owning timelines, quality, and outcomes.
- Engage data engineering and clinical partners to define requirements, influence solution design, and enable scalable, reusable data transformation and visualization capabilities.
- Provide end-to-end program leadership for data configuration/transformation initiatives; translate priorities into executable plans across concurrent programs.
- Define/govern/promote standards, best practices, and data transfer specifications; own SOP development, implementation, and continuous improvement.
- Establish/enforce quality frameworks for internal and vendor outputs to ensure data integrity, compliance, and enterprise standards.
- Own inspection readiness with audit-ready processes, documentation, and controls.
Education & Experience (Required):
- Bachelor’s degree (e.g., CS, statistics/biostatistics, math, biology/health-related) + at least 7 years relevant experience (or equivalent).
- EDC build/data management or EDC extraction/configuration; strong clinical data flow understanding (CDMS, vendor devices, CDR).
Skills (Required/Preferred):
- Data cleaning tools (e.g., Veeva CDB, J Review, Elluminate).
- Visualization/configuration (visual objects/libraries) and clinical trial visualization tool programming.
- Clinical trial terminology, data transfer specifications knowledge; understanding of SDTM.
- (Preferred) Data/Integration XML/standards repositories, APIs, ALS, MDR; ETL/ELT; AWS/Databricks.
- (Preferred) SQL, SAS, R, or Python; R Shiny/Python app development.
- Microsoft Office.
- Proven project leadership, deadline management, attention to detail, and ability to lead in matrix environments; ability to mentor/training others.
Application instructions:
- Apply via the “Apply” button.
Goals:
- Provide leadership for clinical data configuration, transformation, ingestion, and visualization activities supporting clinical trial conduct and development.
Accountabilities:
- Lead and develop Data Configuration Representatives; set priorities, allocate resources, and deliver data configuration/transformation capabilities for clinical trial execution across programs.
- Direct cross-functional/matrix teams and vendor delivery across data configuration, transformation, and visualization platforms; ensure alignment to enterprise data strategy and clinical program needs while owning timelines, quality, and outcomes.
- Engage data engineering and clinical partners to define requirements, influence solution design, and enable scalable, reusable data transformation and visualization capabilities.
- Provide end-to-end program leadership for data configuration/transformation initiatives; translate priorities into executable plans across concurrent programs.
- Define/govern/promote standards, best practices, and data transfer specifications; own SOP development, implementation, and continuous improvement.
- Establish/enforce quality frameworks for internal and vendor outputs to ensure data integrity, compliance, and enterprise standards.
- Own inspection readiness with audit-ready processes, documentation, and controls.
Education & Experience (Required):
- Bachelor’s degree (e.g., CS, statistics/biostatistics, math, biology/health-related) + at least 7 years relevant experience (or equivalent).
- EDC build/data management or EDC extraction/configuration; strong clinical data flow understanding (CDMS, vendor devices, CDR).
Skills (Required/Preferred):
- Data cleaning tools (e.g., Veeva CDB, J Review, Elluminate).
- Visualization/configuration (visual objects/libraries) and clinical trial visualization tool programming.
- Clinical trial terminology, data transfer specifications knowledge; understanding of SDTM.
- (Preferred) Data/Integration XML/standards repositories, APIs, ALS, MDR; ETL/ELT; AWS/Databricks.
- (Preferred) SQL, SAS, R, or Python; R Shiny/Python app development.
- Microsoft Office.
- Proven project leadership, deadline management, attention to detail, and ability to lead in matrix environments; ability to mentor/training others.
Application instructions:
- Apply via the “Apply” button.