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 support regulatory submissions and product life-cycle management. The candidate will develop protocols, statistical analysis plans, and data presentation strategies while collaborating with cross-functional teams to ensure accurate reporting of scientific results. Key technical requirements include proficiency in Python and R for writing production-level code, experience with tools like VS Code and GitHub, and expertise in complex modeling such as Bayesian analysis and survival endpoint analysis. The role also requires processing real-world data from platforms like ConcertAI and FlatIron to solve problems related to evidence generation and benefit-risk assessment within a regulated pharmaceutical environment.
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 provide programming specifications for derived variables and datasets.
Create strategies for data presentation, inference, and the publication of scientific research.
Lead benefit-risk planning and assessment to characterize the safety profile of products.
Develop scientifically appropriate strategies for evidence generation in global medical affairs.
Manage project timelines and ensure the accuracy of data released for statistical analysis.
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, 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