Senior Manager, Operations Research And Analytics Development
Bristol Myers Squibb
New Brunswick, NJ, United States
$139,570 - $169,126; not specified; not specified ...
On-site
Operations research methods (milp, des)
Production-grade python software engineering
Ci/cd and modern engineering workflows
Bristol Myers Squibb is seeking a Senior Manager for Operations Research and Analytics Development to enhance its analytics capabilities through advanced data science and operations research. The ideal candidate will possess strong technical skills in Python and operations research, with a focus on collaborative development and mentoring
Job Summary
Partner with SMEs across the Analytics Development organization to design, build, and scale core tools that serve as the technical foundation for analytics solutions.
Apply operations research methods, including MILP, DES, stochastic modeling, and decision analysis under uncertainty, to complex PDS use cases.
Leverage AI coding tools to improve development velocity across implementation, refactoring, documentation, and debugging while maintaining engineering rigor and code comprehension.
Matching Summary
Match Score: 85
Bristol Myers Squibb is seeking a Senior Manager for Operations Research and Analytics Development to enhance its analytics capabilities through advanced data science and operations research. The ideal candidate will possess strong technical skills in Python and operations research, with a focus on collaborative development and mentoring.
Salary
$139,570 - $169,126; Not specified; Not specified
Skills & Requirements
Must-have
Operations Research methods (MILP, DES)
Production-grade Python software engineering
CI/CD and modern engineering workflows
AI-assisted development tools
Collaboration with BI&T and platform teams
Nice-to-have
Pharmaceutical industry experience
AWS cloud infrastructure
Full-stack development for analytics
Cloud-enabled analytics and data pipelines
SQL and modern data engineering
Key Requirements
PhD in Operations Research, Applied Mathematics, Computer Science, or related quantitative STEM field
2–3 years of professional experience
Strong experience with Git and modern collaborative workflows
Hands-on experience using AI-assisted coding tools
Strong grounding in optimization, simulation, stochastic modeling, or risk modeling