The Associate Director, 340B Technical & Methodology Analytics builds, maintains, and documents analytical methodologies, data models, and scripts that support 340B program compliance monitoring, financial impact analysis, and operational performance measurement
Job Summary
The Associate Director, 340B Technical & Methodology Analytics builds, maintains, and documents analytical methodologies, data models, and scripts that support 340B program compliance monitoring, financial impact analysis, and operational performance measurement.
The role ensures the accuracy, scalability, and reliability of data used across 340B COE analytics and reporting, focusing on technical execution of data processing, validation, integration and model development activities.
Bristol Myers Squibb offers a wide variety of competitive benefits, services and programs that provide employees with the resources to pursue their goals, both at work and in their personal lives.
Matching Summary
The Associate Director, 340B Technical & Methodology Analytics builds, maintains, and documents analytical methodologies, data models, and scripts that support 340B program compliance monitoring, financial impact analysis, and operational performance measurement.
Salary
Base: $167,540 - $203,013; Bonus/Equity: Additional incentive cash and stock opportunities may be available; Benefits: Health Coverage, Wellbeing Support, Financial Well-being and Protection, Work-life benefits
Skills & Requirements
Must-have
analytical methodologies
data models and scripts
340B program compliance
data infrastructure and workflows
data integration and automation
claims, eligibility, chargeback data
Nice-to-have
attention to accuracy and process rigor
fast-paced, complex, regulated environment
pharmaceutical or healthcare sector experience
340B data exposure
automated data workflows or ETL
Key Requirements
Bachelor's degree in data science, data analytics, statistics, engineering, or related field
1–3 years of experience in data analysis, data scientist, or technical support
Working knowledge of SQL
Basic familiarity with Python, R, or SAS
Understanding of data validation, transformation, and documentation processes
Demonstrated ability to manage and troubleshoot data workflows