R&D QA Transformation & Data Science Leader

Regulatory Jobs; Chicago (IL); Presencial; USD 150 000 - 190 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Paid time off

Medical/dental/vision insurance

401(k) plan

Long-term incentive programs

Resumo da oferta

AbbVie in Chicago, IL seeks an Associate Director, R&D Quality Transformation and Data Science to lead data‑driven quality initiatives across R&D QA. You will integrate analytics, AI/ML, and process improvements to strengthen quality culture and drive continuous improvement.

You will partner with leaders across R&D QA, IT, and R&D to translate diagnostics and business needs into practical improvement programs, and report to the Sr. Director of R&D Quality Transformation & Data Science.

Qualificações

• Bachelor's in Data Science, Statistics, Biostatistics, Applied Mathematics, Engineering, Life Sciences, or related field.
• 8+ years of progressive experience in data science, analytics, AI/ML, or transformation in regulated environments.
• Experience leading cross‑functional initiatives in pharmaceutical or related regulated industries.

Responsabilidades

• Support development and execution of a focused R&D QA transformation roadmap with analytics and AI/ML initiatives.
• Analyze data to identify trends, root causes, and opportunities to improve quality culture and operations.
• Lead cross‑functional projects to improve quality operations, reporting, and decision making.
• Collaborate across R&D QA, IT, and R&D to adopt new tools and operating models.
• Develop KPI frameworks and dashboards for executives and stakeholders.

Conhecimentos

Data science

Analytics

AI/ML

Process improvement

KPI dashboards

Python/R/SQL

Power BI/Tableau

Formação académica

Bachelor's in Data Science or related field

MBA or MS in Analytics preferred

Ferramentas

Python

R

SQL

Power BI

Tableau

Descrição da oferta de emprego

AbbVie in Chicago, IL seeks an Associate Director, R&D Quality Transformation and Data Science to lead data‑driven quality initiatives across R&D QA. You will integrate analytics, AI/ML, and process improvements to strengthen quality culture and drive continuous improvement.

You will partner with leaders across R&D QA, IT, and R&D to translate diagnostics and business needs into practical improvement programs, and report to the Sr. Director of R&D Quality Transformation & Data Science.