Senior Manager

Bristol Myers Squibb

Princeton, NJ, US
Base: $164,110 - $198,862; bonus/equity: incentive...
50% onsite
Python programming for production pipelines
Wearable sensor time-series data analysis
Longitudinal mixed-effects modeling
This role involves joining a cutting-edge team to advance global drug development through digital health and multi-modal data science

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 deep learning and statistical methods.
  • Bristol Myers Squibb offers competitive benefits including flexible time off, comprehensive health coverage, and opportunities for work-life balance.

Matching Summary

This role involves joining a cutting-edge team to advance global drug development through digital health and multi-modal data science.

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 model development and validation
  • Clinical trial design and biomarker strategy

Nice-to-have

  • Experience with NLP and causal ML techniques
  • Knowledge of sleep analytics and circadian modeling
  • Familiarity with AWS multi-GPU scalable compute
  • Background in genomics or proteomics datasets
  • Strong communication with non-technical stakeholders

Key Requirements

  • Ph.D. in quantitative field with 1+ years experience or Master's with 3+ years
  • Deep hands-on expertise in digital health and wearable data science
  • Strong Python skills with evidence of shipping production-quality code
  • Experience modeling high-dimensional data for time-to-event outcomes
  • Familiarity with clinical trial design and regulatory decision-making

Work Rights

Not specified

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