Senior Manager

Bristol Myers Squibb

Princeton, NJ, US
Base: $164,110 - $198,862; bonus/equity: incentive...
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Python programming for production pipelines
Wearable sensor time-series data analysis
Longitudinal mixed-effects modeling
** Bristol Myers Squibb is seeking a Senior Manager to join their Drug Development Data Science and Advanced Analytics team in Princeton, NJ. The ideal candidate will possess a Ph.D. or Master’s in a quantitative field and have extensive experience in analyzing digital health data, particularly with wearable and sensor-derived data. **

Job Summary

  • This role involves joining a cutting-edge team to advance global drug development through digital health and multi-modal data science.
  • The position requires building Python pipelines for wearable sensor data and developing predictive models using advanced machine learning techniques.
  • Bristol Myers Squibb offers competitive benefits including flexible time off, comprehensive health coverage, and opportunities for work-life balance.

Matching Summary

Match Score: 75

** Bristol Myers Squibb is seeking a Senior Manager to join their Drug Development Data Science and Advanced Analytics team in Princeton, NJ. The ideal candidate will possess a Ph.D. or Master’s in a quantitative field and have extensive experience in analyzing digital health data, particularly with wearable and sensor-derived data. **

Salary

Base: $164,110 - $198,862; Bonus/Equity: Incentive cash and stock opportunities available; Benefits: Medical, dental, vision, 401(k), paid time off

Skills & Requirements

Must-have

  • Python programming for production pipelines
  • Wearable sensor time-series data analysis
  • Longitudinal mixed-effects modeling
  • Multi-modal omics and clinical data integration
  • Machine learning and deep learning implementation
  • Clinical trial design and biomarker strategy

Nice-to-have

  • Experience with genomics and proteomics datasets
  • NLP and causal machine learning expertise
  • Survival analysis and time-to-event modeling
  • Explainable AI and model interpretability
  • AWS multi-GPU scalable compute deployment
  • Sleep analytics and circadian modeling

Key Requirements

  • Ph.D. in quantitative field or Master's with 3+ years experience
  • Deep hands-on expertise in digital health data science
  • Strong Python skills with production-quality code delivery
  • Experience modeling high-dimensional clinical trial data
  • Familiarity with clinical trial design and regulatory processes

Work Rights

Not specified

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