{"id":1196673,"url":"https://alion.io/job/bristol-myers-squibb-associate-director-data-science-2","title":"Associate Director, Data Science","company":{"id":7994,"name":"Bristol Myers Squibb","domain":"bms.com","url":"https://alion.io/company/bms","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":44,"ghost_share":0,"stale_share":0.227,"repost_share":0.023,"time_to_fill_p50_days":19,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Uxbridge, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":122000,"max_usd":229000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":66},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Explainable AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T18:51:20Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-21T05:46:04Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"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.\nShape the Future of Drug Development\nAre 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.\nThis 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.\nWhat You'll Do\nData Science Strategy & Scientific Leadership\nServe as a senior scientific resource within DSAA, providing strategic direction and methodological guidance across multiple drug development programs\nLead the design and execution of exploratory and confirmatory analyses across diverse and complex data types - from early discovery through late-phase clinical development\nShape analytical strategy for drug development programs, contributing to decisions around trial design, endpoint selection, biomarker strategy, and evidence generation\nRepresent DSAA in cross-functional program team meetings, providing authoritative scientific input and influencing development decisions through rigorous, data-driven analysis\nAdvanced Analytics & Modelling\nLead the development and application of novel computational methods for patient segmentation, biomarker discovery, and precision medicine from multimodal clinical and omics datasets\nDrive the integration, mining, and visualization of diverse, high-dimensional datasets across therapeutic areas and development phases - including genomics, proteomics, imaging, and flow cytometry\nApply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts\nLead application of rigorous statistical approaches to clinical trial data, including survival analysis, longitudinal/mixed-effects modelling, causal inference, and principled handling of missing data\nData Engineering & Reproducibility\nDefine and champion standards for scalable, reproducible, and well-documented analytical pipelines and codebases using Python, R, SQL, and cloud platforms\nEstablish and enforce data quality frameworks to ensure fitness-for-purpose of diverse data sources across programs\nDrive adoption of scalable, automated analytical processes and best-in-class software engineering practices across the team\nLeadership, Mentorship & Cross-Functional Influence\nManage and develop a small team of data scientists, building capabilities and fostering scientific rigor and innovation\nMentor junior and mid-level data scientists, elevating team-wide methodological and engineering standards through code reviews, collaborative problem-solving, and knowledge sharing\nPartner with lead and protocol statisticians in shaping statistical analysis plans (SAPs) for exploratory data science analyses\nCommunicate complex analytical strategies and results with clarity and scientific authority to both technical and non-technical audiences, including senior leadership\nWhat We're Looking For\nRequired Qualifications:\n 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\nDemonstrated 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\nSignificant experience leading the development and application of statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes\nProven expertise in AI/ML and proficiency in Python, R, SQL, and cloud platforms (e.g., AWS, Azure, Databricks)\nDeep familiarity with clinical trial design, drug development processes, and the role of biomarkers and data science in regulatory and clinical decision-making\nDemonstrated ability to define and drive analytical strategy across multiple concurrent programs, balancing scientific rigor with practical delivery\nExcellent communication, data presentation, and visualization skills with the ability to convey complex concepts to diverse audiences\nPreferred Qualifications:\nExperience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials\nExperience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling\nKnowledge of molecular biology and understanding of disease pathways\nExperience with real-world data (RWD/RWE) sources, including EHR, claims, or registry data\nFamiliarity with novel clinical trial designs (e.g., adaptive, platform, or biomarker-enriched trials)\nPrior experience in a people management or formal scientific leadership role\nExperience with cloud-based scalable compute and deployment patterns for large-scale data processing and model training\n#LI-Hybrid\nWe hire for skills and capabilities, not just credentials - if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.\nHow We Work\nWhere 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.\nSupporting People with Disabilities\nBMS 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 . Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.\nBristol Myers Squibb is Disability Confident - Employer\nA UK Government scheme\nCandidate Rights\nBMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.\nFor roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/\nData Protection\nWe will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.\nAny data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.\nIf this posting is missing required information required by local law or incorrect, contact BMS at  with the Job Title and Requisition number. Do not send application-related inquiries to this email. 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