Base: $164,110 - $198,862; bonus/equity: not speci...
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Digital health data science
Wearable and sensor-derived data
Python pipelines for time-series data
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Bristol Myers Squibb is seeking a Senior Manager to join their Drug Development Data Science and Advanced Analytics team in Princeton, NJ. The role requires expertise in digital health data science, computational biology, and strong programming skills to analyze complex data from clinical trials and wearable technologies.
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Job Summary
Join a cutting-edge Drug Development Data Science and Advanced Analytics (DSAA) team to advance the global drug development process.
Drive exploratory analysis for scientific questions related to drug development and clinical study design, defining approaches, processes, algorithms, and pipelines.
Work at the intersection of digital biomarkers, multi-omics, imaging, machine learning, and clinical drug development.
Matching Summary
Match Score: 75
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Bristol Myers Squibb is seeking a Senior Manager to join their Drug Development Data Science and Advanced Analytics team in Princeton, NJ. The role requires expertise in digital health data science, computational biology, and strong programming skills to analyze complex data from clinical trials and wearable technologies.
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Salary
Base: $164,110 - $198,862; Bonus/Equity: Not specified; Benefits: Included
Skills & Requirements
Must-have
digital health data science
wearable and sensor-derived data
Python pipelines for time-series data
multi-modal data analysis
genomics, proteomics, imaging, flow cytometry
computational, statistical, and biological capabilities
production-quality code in Python
Nice-to-have
translating complex data into insights
collaboration with cross-functional teams
state-of-the-art practitioner
rigorous and creative thinking
scientific and statistical strategy
Key Requirements
Ph.D. or Master's Degree with relevant experience
1+ years of academic/industry experience (Ph.D.)
3+ years of industry experience (Master's)
Strong Python skills
Experience with biomarker or multi-modal data analysis