Senior Manager, Data Science

Senior Manager, Data Science position at Bristol Myers Squibb, responsible for leading a new cutting-edge Drug Development Data Science and Biomarker team, developing and applying novel computational methods, and executing biomarker analyses on datasets from BMS clinical trials and real-world data cohorts.

Requirements

• Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 1+ years of academic/industry experience or Master’s Degree in a relevant quantitative field and 3+ years of industry experience
• Strong experience in the analysis of data generated by one or more -omics or molecular assays
• Knowledge of molecular biology, understanding of disease pathways are preferred
• Strong experience in biomarker data analysis with data generated from clinical trials, or electronic health records
• Experience in modeling methods particularly in their application to pharma R&D
• Experience in the application of AI/ML, and proficient in SQL, Python, and R and cloud platforms
• Experience developing statistical and machine learning models on high dimensional and high throughput data for time to event data and longitudinal outcomes
• Perspective in leveraging innovative approaches to expedite drug development and address the complexities of emerging data
• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects
• Strong problem-solving and collaboration skills, and rigorous and creative thinking
• Excellent communication, data presentation, and visualization skills
• Capable of establishing strong working relationships across the organization