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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Director, Data Science - **Company:** Bristol-Myers Squibb Company - **Location:** Uxbridge, UK - **Experience:** Expert - **Salary:** £76,022.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Code Review, Computational Biology, Computer Simulation, Information Engineering, Data Governance, Data Presentation, R (Programming Language), Python (Programming Language), Machine Learning, Data Driven Tests, SQL Databases, Deep Learning, Electronic Medical Records, Information Technology, Databricks - **Published:** September 27, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5899753640 ## About the Role * PhD in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with 6+ years of academic/industry experience; or a Master's Degree in a relevant quantitative field with 8+ years of industry experience * Demonstrated mastery in data science and statistical analysis using clinical trial or electronic health records data, with a strong track record of delivering impactful results in a pharma R&D context * Significant experience leading the development and application of statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes * Proven expertise in AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks) * Deep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making * Demonstrated ability to define and drive analytical strategy across multiple concurrent programs, balancing scientific rigor with practical delivery * Excellent communication, data presentation, and visualization skills with the ability to convey complex concepts to diverse audiences, * Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials * Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling * Knowledge of molecular biology and understanding of disease pathways * Experience with real-world data (RWD/RWE) sources, including EHR, claims, or registry data * Familiarity with novel clinical trial designs (e.g., adaptive, platform, or biomarker-enriched trials) * Prior experience in a people management or formal scientific leadership role * Experience with cloud-based scalable compute and deployment patterns for large-scale data processing and model training ## Description 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 Advanced Analytics & Modelling * 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 Data Engineering & Reproducibility * 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 Leadership, Mentorship & Cross-Functional Influence * 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 problem-solving, and knowledge sharing * Partner with lead and protocol statisticians in shaping statistical analysis plans (SAPs) for exploratory data science analyses * Communicate complex analytical strategies and results with clarity and scientific authority to both technical and non-technical audiences, including senior leadership, Where you work matters - because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working. Supporting People with Disabilities BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Are Code Reviews Worth It? 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