Jobs at Bristol Myers Squibb

Executes and improves high-throughput mammalian protein expression, purification, normalization, and characterization workflows for biologics discovery. Operates laboratory automation and analytical systems, troubleshoots production issues, analyzes data, maintains documentation, and develops scalable, reproducible workflows. Collaborates with protein sciences, molecular biology, automation, data science, and discovery biology teams while contributing to continuous improvement, technology implementation, and operational efficiency.

Leads high-throughput biologics production platforms supporting antibody and multispecific discovery. Responsibilities include designing and scaling mammalian expression, purification, normalization, quality-control, and automated laboratory workflows; managing instruments and production capacity; troubleshooting and improving processes; ensuring data integrity and documentation; collaborating with computational and discovery teams; and mentoring scientists. The role integrates automation, operational metrics, and data-driven methods to deliver reliable, decision-ready protein production at scale.

Leads program management for neuroscience drug development assets across early and late-stage development. Partners with Global Program Leads and cross-functional teams to execute integrated development plans, manage timelines, risks, budgets, resources, governance, and regulatory milestones. Provides strategic guidance, matrix leadership, and executive-level communication while shaping product strategies and resolving complex business and technical issues across therapeutic areas and geographies.

Designs and analyzes real-world evidence studies, develops protocols and statistical analysis plans, interprets results, prepares reports and regulatory submissions, and communicates findings to cross-functional teams. The role requires statistical programming, advanced analysis, data visualization, regulatory knowledge, and collaboration across pharmaceutical development teams. The manager also advises and develops team members while ensuring compliance with company standards and quality requirements.

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.

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

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 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.

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 architecture and engineering of enterprise AWS cloud platform and CI/CD pipelines. Build and maintain IaC (CloudFormation), enforce SecDevOps and governance, integrate AI/ML into SDLC, optimize costs, and mentor teams while delivering scalable, production-ready cloud solutions.

Lead strategy and delivery of clinical pharmacology and pharmacometrics technology, modeling environments, and automated workflows. Partner with R&D, data, labs and regulatory teams to ensure scalable, auditable, inspection-ready CPP systems, reporting, and model-informed decision support. Build and grow a specialized scientific technology team and drive automation, AI-enabled analytics, and regulatory submission support.

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 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.

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%.

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.