Data Science Lead – Drug Development & AI

Bristol Myers Squibb; Uxbridge; On-site; GBP 110,000 - 165,000; Full time

Job summary

Bristol Myers Squibb seeks an Associate Director of Data Science to lead the DSAA team, guiding analytical strategy across early to late phase programs. This role blends strategic direction with hands‑on execution in multi‑modal data, including genomics and omics, to inform pivotal drug development decisions.

You will mentor a small team of data scientists, collaborate with statisticians, and communicate rigorous analyses to senior leaders across the organization.

Qualifications

• PhD or Master's in a quantitative field with substantial industry or post‑doctoral experience.
• Proven mastery in data science and statistics using clinical trial/EHR data.
• Experience leading ML models on high‑dimensional data and implementing AI/ML in pharma R&D.
• Strong communication and ability to influence senior stakeholders.

Responsibilities

• Shape and lead analytical strategy across drug development programs within DSAA.
• Design and execute exploratory and confirmatory analyses across diverse data types.
• Drive advanced analytics, modelling, NLP, and explainable AI for clinical contexts.
• Mentor and manage a small data science team and partner with statisticians.

Skills

Data science leadership

Statistical analysis

Cross-functional collaboration

Education

PhD in a quantitative field

Master's in a quantitative field

Tools

Python

R

SQL

AWS

Azure

Databricks

Job description

Bristol Myers Squibb seeks an Associate Director of Data Science to lead the DSAA team, guiding analytical strategy across early to late phase programs. This role blends strategic direction with hands‑on execution in multi‑modal data, including genomics and omics, to inform pivotal drug development decisions.

You will mentor a small team of data scientists, collaborate with statisticians, and communicate rigorous analyses to senior leaders across the organization.