Senior Manager

As a Senior Manager, the work centres on developing innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug development. It would suit someone who can bring careful technical judgement and practical problem-solving to the role.

Known job details

• Work model: Hybrid
• Bristol Myers Squibb is seeking a Senior Manager, Data Science to join our Drug Development Data Science & Advanced Analytics (DSAA) team.
• AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts.
• Apply statistically rigorous approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, and appropriate handling of missing data and cens.
• Maintain well-structured, reproducible, version-controlled analytical pipelines and codebases using Python, R, SQL, and cloud platforms.

Likely focus of the role

• Develop innovative approaches to integrating, mining, and visualising diverse, high-dimensional, and disparate datasets generated across early-to-late phase drug development.
• Build efficient, automated processes for delivering modelling results at scale.
• Test, and validate predictive models.

Requirements mentioned

• PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 1+ years of academic/industry experi.
• 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.