Head of Statistical Programming & AI Operations

AbbVie; South San Francisco (CA); Hybrid; USD 110,000 - 209,000; Full time

Job summary

AbbVie Inc. is seeking a Manager of Statistical Programming Operations in a hybrid role in the United States.

The position leads cross-functional AI-enabled programming efforts, partnering with statistics, data analytics, data standards and IT to implement next-generation clinical data analysis workflows. The role requires strong programming skills (SAS, R, Python) and experience with CDISC standards, GxP/21 CFR Part 11 compliance, and vendor management.

Qualifications

• MS in Statistics, Computer Science or a related field with 7+ years of relevant experience OR BS with 9+ years of relevant experience.
• Experience leading and overseeing FSP outsourced programming teams.
• Strong problem-solving, analytical and multitasking skills with understanding of CDISC standards and CDISC compliant submission requirements.
• Fundamental understanding of programming paradigms and IT system architectures; Agentic AI frameworks.
• Proficiency in SAS, R, Python, shell scripting or other programming languages.
• Hands-on development experience using SAS, R and Python.

Responsibilities

• Lead cross-functional AI-enabled solutions for pharma use cases and deploy end-to-end programming capabilities.
• Partner with senior stakeholders to identify business needs and translate them into opportunities and project plans.
• Elicit, analyze and document requirements; translate into technical specifications and manage resources.
• Develop and maintain automation scripts, workflows and tools; ensure secure, scalable, compliant solutions.
• Deliver process optimization through SOPs, job aids and work instructions; drive adoption.

Skills

FSP leadership

SAS/R/Python

Problem solving

Programming paradigms

Hands-on SAS/R/Python

AI frameworks

Education

MS/BS in Statistics or CS

Tools

AWS

Azure

Vector databases

SQL

Job description

AbbVie Inc. is seeking a Manager of Statistical Programming Operations in a hybrid role in the United States.

The position leads cross-functional AI-enabled programming efforts, partnering with statistics, data analytics, data standards and IT to implement next-generation clinical data analysis workflows. The role requires strong programming skills (SAS, R, Python) and experience with CDISC standards, GxP/21 CFR Part 11 compliance, and vendor management.