Associate Director, Data Science

Locations:
Uxbridge - GB

Country:
United Kingdom

Country code: GB

Time type:
Full time

Posting start date (Workday):

Posting end date (Workday):

Requisition : R1600843

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

Are you a data science leader with the vision to transform complex, multi-modal data into life-changing scientific decisions? Bristol Myers Squibb is looking for an Associate Director of Data Science to join our cutting-edge Drug Development Data Science & Advanced Analytics (DSAA) team.

This is a rare opportunity to operate at the intersection of advanced analytics, AI/ML innovation, and clinical science — driving both strategic direction and hands‑on execution across early‑to‑late phase drug development programs. As a senior scientific and technical leader, you will define analytical frameworks, champion methodological standards, and serve as a key partner to cross‑functional stakeholders across the organization.

• Serve as a senior scientific resource within DSAA, providing strategic direction and methodological guidance across multiple drug development programs
• Lead the design and execution of exploratory and confirmatory analyses across diverse and complex data types — from early discovery through late‑phase clinical development
• Shape analytical strategy for drug development programs, contributing to decisions around trial design, endpoint selection, biomarker strategy, and evidence generation
• Represent DSAA in cross‑functional program team meetings, providing authoritative scientific input and influencing development decisions through rigorous, data‑driven analysis

• Lead the development and application of novel computational methods for patient segmentation, biomarker discovery, and precision medicine from multimodal clinical and omics datasets
• Drive the integration, mining, and visualization of diverse, high‑dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry
• Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts
• Lead application of rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed‑effects modelling, causal inference, and principled handling of missing data

• Define and champion standards for scalable, reproducible, and well‑documented analytical pipelines and codebases using Python, R, SQL, and cloud platforms
• Establish and enforce data quality frameworks to ensure fitness‑for‑purpose of diverse data sources across programs
• Drive adoption of scalable, automated analytical processes and best‑in‑class software engineering practices across the team

• Manage and develop a small team of data scientists, building capabilities and fostering scientific rigor and innovation
• Mentor junior and mid‑level data scientists, elevating team‑wide methodological and engineering standards through code reviews, collaborative…