Director of Statistical Programming & Data Strategy

AbbVie Inc.; Lake Forest (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

401(k) plan

Long-term incentive programs

Paid time off

Medical/dental/vision Insurance

Job summary

AbbVie Inc. is seeking a Director of Statistical Programming to lead a team of programmers and ensure high-quality, compliant deliverables across multiple indications.

You will align programming activities with the clinical development strategy, set standards, and collaborate with cross-functional teams to enable data-driven decisions. Ideal candidates have extensive SAS programming and macro development experience, strong regulatory knowledge, and proven leadership in pharmaceutical settings.

Qualifications

• MS or BS in Statistics, Computer Science or related field; extensive SAS/macros experience.
• Pharmaceutical/clinical trial experience with regulatory expectations (FDA/EMEA).
• Minimum 5 years of management experience with direct reports.
• Strong communication and mentoring skills; ability to lead cross-functional teams.

Responsibilities

• Oversee a team of programmers and align programming activities with clinical development strategy.
• Define and maintain programming standards and SOPs for regulatory compliance.
• Provide strategic input and collaboration with cross-functional teams across indications.
• Mentor and coach staff; manage resources and project delivery timelines.

Skills

SAS programming

Macro development

Regulatory understanding

People management

Communication skills

Education

MS in Statistics, Computer Science or related field

BS in Statistics, Computer Science or related field

Tools

SAS (tool)

Job description

AbbVie Inc. is seeking a Director of Statistical Programming to lead a team of programmers and ensure high-quality, compliant deliverables across multiple indications.

You will align programming activities with the clinical development strategy, set standards, and collaborate with cross-functional teams to enable data-driven decisions. Ideal candidates have extensive SAS programming and macro development experience, strong regulatory knowledge, and proven leadership in pharmaceutical settings.