Senior Manager, Development to Launch Analytics
Bristol Myers Squibb
6 days ago
Remote friendly (New Brunswick, NJ)
United States
Operations
Position Summary
- Lead Development to Launch Analytics within PDS Analytics (BI& T), partnering with PDS leaders to answer business questions and drive strategy using machine learning, statistical, and quantitative models.
Key Responsibilities
- Support business decisions: identify and address priority questions for CMC development, new product introduction, and business operations; run hypothesis testing and present findings.
- Drive analytics and capabilities: build core AI/ML models, ETL processes, and statistical methods; operationalize, interpret, and maintain models using DevOps and business reporting.
- Drive productivity/operational excellence: enforce coding best practices and enterprise standards; create documentation; perform walkthroughs and peer reviews.
- Lead/manage multiple projects end-to-end; define analytics standards and escalation processes.
Qualifications & Experience
- Bachelor’s in a quantitative field; advanced degree preferred.
- 5+ years applied machine learning/statistics/time-series or quantitative forecasting.
- 5+ years SQL, Python and/or R in production environments.
- Data architecture/database concepts; probabilistic methods (Monte Carlo, probability theory, Bayesian).
- Version control in production-grade code development (plus).
- Life sciences/pharma experience strongly preferred.
- Strong project management, critical thinking, communication; ability to lead/prioritize; work with diverse matrix teams.
Benefits (selected)
- Health coverage (medical, pharmacy, dental, vision); wellbeing support (EAP, wellbeing programs); 401(k); short/long-term disability; life/accident/supplemental insurance; paid time off (flexible/unlimited with manager approval for US exempt employees) + national holidays.
Application
- If not an exact match, apply anyway.
- Lead Development to Launch Analytics within PDS Analytics (BI& T), partnering with PDS leaders to answer business questions and drive strategy using machine learning, statistical, and quantitative models.
Key Responsibilities
- Support business decisions: identify and address priority questions for CMC development, new product introduction, and business operations; run hypothesis testing and present findings.
- Drive analytics and capabilities: build core AI/ML models, ETL processes, and statistical methods; operationalize, interpret, and maintain models using DevOps and business reporting.
- Drive productivity/operational excellence: enforce coding best practices and enterprise standards; create documentation; perform walkthroughs and peer reviews.
- Lead/manage multiple projects end-to-end; define analytics standards and escalation processes.
Qualifications & Experience
- Bachelor’s in a quantitative field; advanced degree preferred.
- 5+ years applied machine learning/statistics/time-series or quantitative forecasting.
- 5+ years SQL, Python and/or R in production environments.
- Data architecture/database concepts; probabilistic methods (Monte Carlo, probability theory, Bayesian).
- Version control in production-grade code development (plus).
- Life sciences/pharma experience strongly preferred.
- Strong project management, critical thinking, communication; ability to lead/prioritize; work with diverse matrix teams.
Benefits (selected)
- Health coverage (medical, pharmacy, dental, vision); wellbeing support (EAP, wellbeing programs); 401(k); short/long-term disability; life/accident/supplemental insurance; paid time off (flexible/unlimited with manager approval for US exempt employees) + national holidays.
Application
- If not an exact match, apply anyway.