Manager, AI-Driven Statistical Programming Ops

AbbVie; Irvine (CA); Hybrid; USD 110,000 - 209,000; Full time

Job summary

AbbVie is seeking a Manager of Statistical Programming Operations for a hybrid role in the United States. You will lead AI-driven solutions, partner with senior stakeholders, and ensure governance and compliance across statistical programming operations.

Responsibilities include developing automation, managing cross-functional programs, and driving adoption of innovative technologies within the DSS. This role requires strong leadership and expertise in SAS/R/Python and cloud tools.

Qualifications

• MS in Statistics, CS or related field with 7+ years of experience; OR BS with 9+ years of experience.
• Experience leading and overseeing FSP outsourced programming teams.
• Proficiency in SAS, R, Python and shell scripting; hands-on development experience using SAS, R and Python

Responsibilities

• Lead the design and implementation of cross-functional AI solutions for pharma use cases.
• Partner with senior stakeholders to identify needs and manage project delivery.
• Engage with multi-disciplinary experts to translate requirements into functional tech specs.
• Develop automation scripts and tools using SAS, R, Python.
• Deliver optimization of end-to-end business processes with SOPs and job aids.
• Drive change management through demos, training, and knowledge transfer.
• Stay current on FDA AI guidance and industry trends; assess emerging technologies.
• Ensure compliance with GxP 21 CFR Part 11, CSV, and ICH guidelines across deployments

Skills

SAS

R

Python

Shell scripting

Education

MS in Statistics

BS in Statistics/CS

Tools

AWS

Azure

Vector databases

SQL

Job description

AbbVie is seeking a Manager of Statistical Programming Operations for a hybrid role in the United States. You will lead AI-driven solutions, partner with senior stakeholders, and ensure governance and compliance across statistical programming operations.

Responsibilities include developing automation, managing cross-functional programs, and driving adoption of innovative technologies within the DSS. This role requires strong leadership and expertise in SAS/R/Python and cloud tools.