Associate Director, R&D Quality Transformation and Data Science

Associate Director role supporting R&D Quality Assurance transformation initiatives through data science, analytics, and process improvement. Leads cross-functional projects to enhance quality operations, implement AI/ML solutions, and drive continuous improvement across the organization.

Responsibilities

• Develop and execute R&D QA transformation roadmap including analytics, AI/ML, and operational excellence initiatives
• Analyze diagnostic and performance data to identify trends, opportunities, and root causes for improvement prioritization
• Lead cross-functional transformation projects improving quality operations, reporting, and decision-making processes
• Partner with R&D QA, IT, and R&D teams to implement improvements and support adoption of new tools and methods
• Support development of functional KPIs and executive dashboards; translate data into business value narratives for stakeholders

Requirements

• Bachelor's degree in Data Science, Statistics, Biostatistics, Applied Mathematics, Engineering, or Life Sciences; advanced degree preferred
• 8+ years progressive experience in data science, analytics, AI/ML, process improvement, or transformation in life sciences or regulated industry
• Experience supporting or leading cross-functional initiatives in pharmaceutical, medical device, clinical, or quality environments
• Proficiency in Python, R, and/or SQL plus experience with BI/visualization platforms such as Power BI or Tableau
• Strong statistical expertise including regression analysis, Statistical Process Control, multivariate analysis, and predictive modeling
• Demonstrated ability to design KPI frameworks, balanced scorecards, or enterprise performance management systems
• Understanding of quality systems, compliance expectations, and change management in regulated environments