below marketmost similar roles pay hereabove market
This role pays less than
58%
of similar roles. Most pay
$168,742–$224,334
— the blue 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
127 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 119 roles with salary data.
The Senior Manager, Statistical Innovation provides statistical leadership to the research and development organization for projects involving clinical trials, patient safety, and global medical affairs. The role involves conducting research, experimentation, and methodology development for statistical, machine learning, and AI models. Key responsibilities include developing protocols, statistical analysis plans, and production-level code for end-to-end pipelines. The successful candidate will perform complex analyses such as multiple testing, Bayesian analysis, mixed model analysis, and survival endpoint analysis. Required technical skills include proficiency in Python, R, VS Code, Claude Code, and GitHub, alongside experience with ConcertAI, FlatIron, and Optum databases. This position solves technical problems related to drug development, life-cycle management, and evidence generation within a regulated pharmaceutical environment, ensuring accurate data interpretation for scientific research and publications.
Conduct research and methodology development for statistical, machine learning, and AI models.
Develop protocols and statistical analysis plans for clinical research and product safety.
Provide statistical leadership for the design, analysis, and reporting of scientific research programs.
Perform complex statistical analyses and ensure the accuracy of data released for analysis.
Develop strategies for data presentation, inference, and the interpretation of statistical deliverables.
Lead statistical support for benefit-risk planning and safety data monitoring.
Provide functional area input for product life-cycle management and evidence generation.
Translate complex statistical concepts into clear explanations for non-statistician stakeholders.
What we're looking for
MS with 8+ years of experience or a PhD with 4+ years of experience in Statistics, Biostatistics, Bioinformatics, Machine Learning, AI, or a related field.
Strong skills in conducting complex statistical analyses including multiple testing, Bayesian analysis, mixed model analysis, and survival endpoint analysis.
Strong skills 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.
Strong real-world data processing and analysis skills with experience on ConcertAI, FlatIron, and Optum databases.
Strong leadership skills with 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 such as ISS, benefit-risk assessment, or signal detection (preferred).
SAS
R
Python
Machine Learning
Bayesian Statistics
Causal Inference
Experimental Design
Statistical Analysis
Generative AI
Data Quality Assurance
Biostatistics
SQL
Python
R
Statistical Modeling
Tableau
Looker
Power BI
A/B Testing
Experimental Design
ETL
Data Visualization
Regression
Classification
Unsupervised Learning
MMM
MTA
Data Wrangling
KPI Governance