AI-Driven Statistical Programming Operations Manager

Remote Genie; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

AbbVie is seeking a Manager of Statistical Programming Operations to optimize and deploy AI-enabled processes within the Data and Statistical Sciences organization. You will collaborate with biostatistics, data science, and IT to implement next-gen clinical data analysis ecosystems.

Role requires leading outsourced programming teams, strong programming skills (SAS, R, Python), and deep knowledge of CDISC standards to ensure GxP and 21 CFR Part 11 compliance across global projects.

Qualifications

• MS in Statistics, Computer Science or related field with 7+ years of relevant experience or BS with 9+ years of relevant experience.
• Experience leading and overseeing FSP outsourced programming teams.
• Fundamental understanding of CDISC standards and CDISC compliant submission requirements.
• Hands-on development using SAS, R and Python.

Responsibilities

• Lead design and implementation of cross-functional AI-enabled solutions for pharma use cases.
• Partner with senior stakeholders to translate business needs into opportunities and manage project delivery.
• Develop automation scripts, workflows, and tools ensuring secure, scalable, compliant solutions.
• Drive process optimization and change management across teams, with demos and training.

Skills

Experience leading FSP teams

SAS, R, Python proficiency

Statistical programming & analytics

Education

MS in Statistics or Computer Science

BS in Statistics or Computer Science

Tools

SAS

R

Python

Shell scripting

Job description

AbbVie is seeking a Manager of Statistical Programming Operations to optimize and deploy AI-enabled processes within the Data and Statistical Sciences organization. You will collaborate with biostatistics, data science, and IT to implement next-gen clinical data analysis ecosystems.

Role requires leading outsourced programming teams, strong programming skills (SAS, R, Python), and deep knowledge of CDISC standards to ensure GxP and 21 CFR Part 11 compliance across global projects.