Job Description
Senior Manager, Data Science – Drug Development Data Science & Advanced Analytics (DSAA)
Responsibilities
- Develop and apply novel computational methods for patient segmentation, biomarker discovery, and hypothesis generation from multimodal clinical and omics datasets, in partnership with Translational, Clinical, and Statistical Scientists
- Execute data science analyses on datasets from BMS clinical trials and real-world data cohorts, spanning genomics, proteomics, imaging, flow cytometry, and other high‑dimensional biomarker data types
- Develop innovative approaches to integrating, mining, and visualising diverse, high‑dimensional, and disparate datasets generated across early‑to‑late phase drug development
- Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale
- Apply modern machine learning capabilities—including AI/ML, deep learn...
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