R&D Quality Transformation & Data Science Lead

BioSpace; North Chicago (IL); Sur place; USD 140 000 - 190 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits

401(k) plan

Résumé du poste

AbbVie is seeking an Associate Director, R&D Quality Transformation and Data Science to advance analytics and digital capabilities across R&D Quality Assurance. This leader will drive data-driven decision making, process optimization, and change management within a regulated environment.

Collaborating with leaders across R&D QA, IT, and R&D, the role translates diagnostic findings into practical improvement initiatives, dashboards, and KPI frameworks to enhance quality and efficiency across

Qualifications

• Bachelor's degree in data science, statistics, biostatistics, applied mathematics, engineering, life sciences, or related field required; advanced degree preferred.
• 8+ years of progressive experience in data science, analytics, AI/ML, and process improvement in life sciences or regulated industries.
• Experience leading cross-functional initiatives in pharmaceutical, medical device, or quality environments.
• Proven ability to use data and analytics to support process improvement and business decisions.

Responsabilités

• Develop and execute R&D QA transformation roadmap with analytics, AI/ML, and operational excellence initiatives.
• Analyze diagnostic and performance data to identify trends and root causes; prioritize improvement actions.
• Lead cross-functional transformation projects to improve quality operations, reporting, and decision-making.
• Collaborate with R&D QA, IT, and R&D to implement improvements and adopt new tools and operating models.
• Contribute to KPI frameworks, dashboards, and executive-level reporting.

Connaissances

Data science

AI/ML

Statistics

Python

R

SQL

Formation

Bachelor's degree or higher in data-related field

MBA or MS in Analytics (preferred)

Outils

Power BI

Tableau

Description du poste

AbbVie is seeking an Associate Director, R&D Quality Transformation and Data Science to advance analytics and digital capabilities across R&D Quality Assurance. This leader will drive data-driven decision making, process optimization, and change management within a regulated environment.

Collaborating with leaders across R&D QA, IT, and R&D, the role translates diagnostic findings into practical improvement initiatives, dashboards, and KPI frameworks to enhance quality and efficiency across