This role serves as a senior scientific leader within the DSAA organization to drive the vision and execution of exploratory data science across early-to-late phase drug development
Job Summary
This role serves as a senior scientific leader within the DSAA organization to drive the vision and execution of exploratory data science across early-to-late phase drug development.
The position requires deep expertise in analyzing wearable and sensor-derived longitudinal data alongside multi-modal datasets including genomics, proteomics, and imaging from clinical trials.
Bristol Myers Squibb offers competitive benefits including flexible time off, comprehensive health coverage, and a supportive culture focused on transforming patients' lives through science.
Matching Summary
This role serves as a senior scientific leader within the DSAA organization to drive the vision and execution of exploratory data science across early-to-late phase drug development.
Salary
Base: $218,740 - $265,060; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Health coverage, 401(k), paid time off, and wellbeing support
Skills & Requirements
Must-have
Digital health data science expertise
Wearable and sensor time-series analysis
Python programming for production pipelines
Longitudinal statistical modeling skills
Clinical trial biomarker analysis experience
AI/ML and deep learning application
Nice-to-have
Genomics and proteomics dataset experience
NLP and causal ML knowledge
Survival analysis and time-to-event modeling
Cloud platform deployment patterns
Sleep analytics and circadian modeling
Third-party vendor evaluation experience
Key Requirements
Ph.D. in quantitative field with 8+ years experience
Master's Degree with 10+ years industry experience
Proven track record in pharmaceutical R&D data science
Strong Python skills for scalable analytical work
Experience leading multidisciplinary teams and programs