This role pays less than
58%
of similar roles. Most pay
$164,531–$229,775
— the shaded band above.
At the midpoint, this role pays about
$180k
versus about
$197k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
340 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 310 roles with salary data.
The Senior Manager, Statistical Innovation provides statistical leadership for the research and development organization across clinical trials, patient safety, and global medical affairs. This role involves conducting research, experimentation, and methodology development for statistical, machine learning, and AI models to advance medicines. Key responsibilities include developing protocols and statistical analysis plans, managing product life-cycle strategies, and ensuring the accuracy of data for scientific reporting. The candidate will perform complex analyses including Bayesian, mixed model, and survival endpoint analysis while writing production-level code in Python and R using tools like VS Code and GitHub. Experience with real-world data from ConcertAI, FlatIron, and Optum databases is required. The role addresses the technical challenges of evidence generation, benefit-risk assessment, and signal detection within a regulated pharmaceutical environment to support drug development and safety monitoring.
Conduct research and develop methodologies for statistical, machine learning, and AI models.
Develop protocols and statistical analysis plans for clinical trials and product safety programs.
Provide statistical leadership for the design, analysis, and reporting of scientific research programs.
Perform complex statistical analyses and manage data quality for large-scale study results.
Create strategies for data presentation, inference, and the publication of scientific research.
Define programming specifications for derived variables and coordinate with teams to prepare for database locks.
Lead benefit-risk planning and assessment to characterize the safety profiles of products.
Develop scientifically appropriate strategies for evidence generation in global medical affairs.
What we're looking for
MS with 8+ years of experience or PhD with 4+ years of experience in Statistics, Biostatistics, Bioinformatics, Machine Learning, AI, or a related field.
Experience conducting complex statistical analyses and modeling including multiple testing, Bayesian analysis, mixed model analysis, and survival endpoint analysis.
Experience in machine learning, deep learning, and AI predictive modeling including data processing, model training, tuning, and deployment.
Ability to write production-level code for end-to-end pipelines in both Python and R using tools like VS Code, Claude Code, and GitHub.
Experience with real-world data processing and analysis using ConcertAI, FlatIron, or Optum databases.
Strong leadership skills and experience managing cross-cultural or overseas teams.
Pharmaceutical or related industry knowledge including drug development and life-cycle management in a regulated environment (preferred).
Experience supporting safety-related projects or knowledge of methodologies for confounding control and bias minimization in observational studies (preferred).
Statistics
Machine Learning
Python
R
Deep Learning
Statistical Modeling
Bayesian Analysis
Mixed Model Analysis
Data Science
VS Code
GitHub
Claude Code
ConcertAI
FlatIron
Optum
Statistical Modeling
Machine Learning
Deep Learning
R
Python
Julia
SAS
R-Shiny
Simulation
Bayesian Methods
Predictive Modeling
FACTS
EAST
Scientific Computing
Statistical Modeling
Machine Learning
Deep Learning
R
R-Shiny
Python
Julia
SAS
FACTS
EAST
Simulation
Bayesian Methods
Predictive Modeling
Scientific Computing