Jobs at Bristol Myers Squibb

Design, implement, and deploy end-to-end machine learning pipelines to optimize clinical trial operations. Collaborate with cross-functional teams to integrate AI solutions, manage AI product lifecycles, monitor post-deployment performance, and translate model outputs into actionable clinical operations strategies. Stay current on AI trends including NLP and predictive analytics.

Lead global regulatory strategy for Neuroscience development and marketed products. Serve as primary interface with health authorities, build global regulatory plans, advise cross-functional teams, evaluate regulatory landscape, support due diligence and submissions, and guide regional regulatory staff to align development and commercialization strategies.

Lead design and ownership of commercial operations workflows for Rayze Bio RPT launch. Define processes, requirements, and acceptance criteria; partner with IT, vendors, and cross-functional teams to ensure systems support launch readiness, user adoption, operational visibility, issue resolution, and measurable process performance.

The Senior Application Engineer will develop cloud-native applications and APIs, focusing on AI products, utilizing AWS technologies, and engaging in Agile project cycles.

Lead and develop a therapeutic-area team of scientific writers, applying advanced regulatory documentation expertise to create content libraries, standardize processes and tools, and drive document automation initiatives. Provide managerial, scientific, and customer-focused leadership to ensure consistent regulatory documentation across development and lifecycle management globally.

The Senior Manager will drive advanced analytics using data science tools to support business strategy and decision-making in drug development and product launch processes. Responsibilities include building machine learning models, ensuring coding best practices, and collaborating with business leaders to provide data-driven insights.

Lead and execute biomarker and drug development data science efforts: develop computational methods and predictive models for multimodal clinical and omics data, perform high-dimensional statistical analyses, partner with statisticians and translational scientists on protocols and SAPs, validate biomarker assays for trials, implement scalable ML/DL solutions, and manage cross-functional resources to deliver quality results on timelines.

Field-based role supporting hematology, oncology, and cardiovascular portfolios by developing payer/office relationships, providing access and reimbursement education, managing patient cases in BMS hubs, and collaborating with sales and access teams to ensure patient continuity of care and compliant program enrollment.

Senior AI Engineer will design and build cloud-native, agentic AI applications and platform patterns on AWS. Responsibilities include backend services (Python/FastAPI, TypeScript/Node), agent orchestration, retrieval and knowledge architectures, CI/CD and IaC, security and observability, and technical leadership to drive MVPs to production within agile AI Accelerator cycles.

The Director of Biostatistics leads innovative clinical trial designs, manages statistical resources, ensures compliance with standards, and develops strategies for regulatory submissions. The role also involves mentoring team members and representing the company in professional settings.

The Senior Director leads the Biostatistics function, guiding statistical contributions in clinical development, managing budgets, ensuring compliance, and mentoring the team, while collaborating with regulatory agencies and driving strategy improvement.

Lead global and US regulatory strategy for development programs, create submission plans, engage health authorities, oversee regulatory documents and dossiers, manage external vendors and cross-functional teams, and resolve critical regulatory issues to enable product registration.

Lead biostatistics activities on clinical development teams: design studies, author/review protocols and SAPs, perform/validate analyses, interpret and communicate results, ensure SOP compliance, mentor staff, and support regulatory submissions.

Manage the Manufacturing Optimization Analytics team to develop data analytics tools and AI for business operations, enabling effective product development, manufacturing, and distribution decisions. Collaborate with stakeholders to address key business questions and enhance team productivity through standardized methodologies.

As a Senior Data Scientist, you will lead AI product hypotheses and experimentation, working with cross-functional teams to develop and evaluate AI solutions across various company functions. Responsibilities include designing datasets, building analytical features, and measuring product impacts using AWS tools and industry-best practices.

Lead biostatistician for oncology clinical trials: design statistical strategies, author SAPs and TLFs, validate vendor deliverables, collaborate cross-functionally, support regulatory submissions, pilot AI initiatives, and provide strategic statistical guidance throughout drug development. Travel ~10%.

Coordinate, curate, validate, and maintain high-quality, reproducible research datasets for translational and clinical studies. Manage vendor/CRO data transfers, perform QC and data queries, develop data management plans and AI-ready datasets, collaborate with scientists and data engineers, and support data governance, standardization, and tooling to enable analytics and digital transformation across R&D.

Lead clinical data management activities across multiple trials, oversee CROs and vendors, ensure data integrity and regulatory compliance, manage EDC/IVRS/CTMS/eTMF systems, perform data review and trend analysis, contribute to SOPs, and support cross-functional teams to meet project timelines and deliverables.

Lead design, prototyping, and scaling of LLM-enabled AI capabilities for drug discovery research. Partner with scientists and engineers to build agentic systems, evaluation frameworks, grounding and provenance infrastructure, and reusable AI building blocks that improve research decision-making and scientific quality.

Lead clinical data management activities across multiple trials: ensure data quality and integrity, manage CROs and vendors, oversee EDC/IVRS/CTMS/eTMF systems, perform data review and trend analysis, contribute to SOPs and regulatory compliance, and liaise cross-functionally to meet timelines and deliverables.