Clinical Data Strategy Lead — Data Science Program

Allergan; Irvine (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

AbbVie in Irvine, CA is seeking a CDSO Lead or Clinical Data Scientist to own data collection strategy and ensure data quality across trials, enabling inspection-readiness and timely milestones.

You will coordinate with clinical, statistical, medical, safety, regulatory, technology and vendor teams, driving data-driven decisions and process improvements. This role also emphasizes leadership, coaching, and cross-functional influence in a matrix environment.

Qualifications

• Bachelor’s degree in business, MIS, CS, life sciences or equivalent. Master’s preferred.
• Experience in pharma/clinical research or data management is required or 8+ years in project management.
• Demonstrated leadership and ability to influence without direct authority.
• Strong communication and analytical skills.

Responsibilities

• Owns the data collection strategy and data quality delivery for studies.
• Leads risk-based data reviews from study start-up through database lock.
• Triages data quality standards and drives cross-functional actions to ensure data currency.
• Interprets data and metrics to develop data-driven recommendations for study execution.
• Coaches and mentors team members in a matrix environment.
• Ensures regulatory compliance and inspection readiness across trial data.

Skills

Data management

Clinical research

Pharma industry

Project management

Communication skills

Analytical skills

Education

Bachelor's degree in related field

Master's degree preferred

Job description

AbbVie in Irvine, CA is seeking a CDSO Lead or Clinical Data Scientist to own data collection strategy and ensure data quality across trials, enabling inspection-readiness and timely milestones.

You will coordinate with clinical, statistical, medical, safety, regulatory, technology and vendor teams, driving data-driven decisions and process improvements. This role also emphasizes leadership, coaching, and cross-functional influence in a matrix environment.