The Executive Director Clinical Data Engineering & Analytics (CDEA) provides strategic and functional leadership for the delivery and modernization of programming support through SDTM, including clinical pharmacology, biomarker and Ph1a studies
Job Summary
The Executive Director Clinical Data Engineering & Analytics (CDEA) provides strategic and functional leadership for the delivery and modernization of programming support through SDTM, including clinical pharmacology, biomarker and Ph1a studies.
This role will also provide functional leadership for the creation of a robust, compliant and modern data foundation that emphasizes data standards, data governance best practices, and AI-readiness-by-design.
The ideal candidate is a visionary leader with deep clinical trial data expertise, a strong command of regulatory expectations (CDISC, ICH, FDA/EMA), and a passion for transforming clinical & statistical programming through emerging technologies to achieve high-quality results.
Matching Summary
The Executive Director Clinical Data Engineering & Analytics (CDEA) provides strategic and functional leadership for the delivery and modernization of programming support through SDTM, including clinical pharmacology, biomarker and Ph1a studies.
Salary
$281,010.00 - $363,660.00; Bonus/Equity: Discretionary annual bonus, discretionary stock-based long-term incentives; Benefits: Medical, dental, vision, and life insurance plans
Skills & Requirements
Must-have
clinical trial data expertise
regulatory expectations (CDISC, ICH, FDA/EMA)
AI-readiness-by-design
data standards and governance
SDTM programming support
advanced visual analytics solutions
Nice-to-have
visionary leader
people leadership excellence
cross-functional collaboration
organizational development
change champion
Key Requirements
16+ years of relevant industry experience
Bachelor’s degree or higher in Biostatistics, Computer Science, or related field
Extensive experience with SAS®, R or Python
Proven track record applying AI, machine learning or advanced automation
Hands-on experience with current AI-assisted integrated development environments (IDEs)
Demonstrated ability to lead change management activities
Demonstrated leadership in driving adoption of standards