Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team. The successful candidate will execute and drive exploratory and confirmatory analyses across a rich variety of data types, contributing directly to decisions that advance our global development pipeline.
Requirements
- PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 1+ years of academic/industry experience
- Master's Degree in a relevant quantitative field with 3+ years of industry experience
- Strong experience in data science and statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context
- Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes
- Experience in the application of AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks)
- Familiarity with clinical trial design, drug development processes, and the role of biomarkers in regulatory and clinical decision-making
- Strong problem-solving, collaboration, and communication skills, with the ability to handle several concurrent, fast-paced projects independently and as part of a team