Associate Director, Data Science
Bristol Myers SquibbEngland, United Kingdom
Posted April 9, 2026
Full Time
About the Company
At Bristol Myers Squibb, we work every day to transform patients’ lives through science. That work inspires some of the most interesting, meaningful, and life-changing careers you’ll experience. Join us and pursue innovative ideas alongside some of the brightest minds in biopharma, collaborating with a team rich in diversity of experiences, and perspectives. We have built a sustainable pipeline of potential therapies and are leveraging translational medicine and data analytics to understand how we can deliver the right medicine to the right patient, at the right time, to achieve the best outcome. Whether in a scientific, business or supporting function, a career at BMS means you’ll be inspired every day to grow and thrive through opportunities that are uncommon in scale and scope. Here, you’ll be on the cutting edge of powerful innovation in oncology, hematology, immunology, cardiovascular disease, and fibrosis, with colleagues united in the mission to help patients. Through the Bristol Myers Squibb Foundation, we also promote health equity and seek to improve health outcomes of populations disproportionately affected by serious diseases and conditions. Our mission is to give new hope to help patients prevail over serious disease – it drives everything we do. Review our Social Media Community Guidelines at: https://www.bms.com/social-media-community-guidelines.html
Job Description
Bristol Myers Squibb is looking for an Associate Director of Data Science to join their cutting-edge Drug Development Data Science & Advanced Analytics (DSAA) team. As a senior scientific and technical leader, the successful candidate will define analytical frameworks, champion methodological standards, and serve as a key partner to cross-functional stakeholders across the organization.
Requirements
- PhD in a relevant quantitative field
- 6+ years of academic/industry experience
- Demonstrated mastery in data science and statistical analysis
- Significant experience leading the development and application of statistical and machine learning models
- Proven expertise in AI/ML and proficiency in Python, R, SQL, and cloud platforms
- Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making
- Excellent communication, data presentation, and visualization skills
Benefits
- Competitive benefits
- Services and programs that provide employees with the resources to pursue their goals, both at work and in their personal lives