Jobs at Bristol Myers Squibb

Lead deployment and lifecycle of Automated QC systems across the cell therapy manufacturing network. Own technology roadmap, coordinate cross-functional priorities, ensure cGMP compliance, validate system performance, manage vendors, support regulatory filings, report KPIs, mitigate risks, and coach the AQC deployment and sustaining team.

Leads microbiological and sterility assurance investigations across internal manufacturing sites and external manufacturing partners. Provides expert impact assessments, root cause and CAPA reviews, contamination control and aseptic processing guidance, regulatory inspection support, and technical oversight of CMOs. Supports media fills, process validation, change controls, CMC documentation, and Annex 1 compliance while mentoring microbiology and quality teams and developing global standards and oversight tools. The role requires up to 25% travel.

Supports development of CAR T-cell products by optimizing and executing characterization assays, functional immunoassays, flow cytometry, cytokine and molecular analyses. Performs statistical analysis, presents findings, maintains cell cultures and laboratory inventories, documents experiments, and collaborates on analytical approaches for evaluating CAR T-cell phenotype and function.

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.

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.

Leads biostatistical support for clinical development programs, including trial design, protocol and statistical analysis plan development, study analysis, regulatory submissions, and interpretation of results. Authors and reviews clinical study documents, presents findings, ensures adherence to standards, and supports regulatory interactions. Collaborates cross-functionally as a scientific and strategic partner, manages multiple studies, contributes to statistical practices, and advises or mentors team members. People-management responsibilities may include coaching, development planning, and performance feedback.

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.

Provide scientific and technical leadership for data science across drug development programs. Design and execute analyses on multimodal clinical and omics data, develop predictive models and AI/ML methods, define reproducible pipelines (Python/R/SQL/cloud), mentor data scientists, influence trial and biomarker strategy, and translate results to inform clinical development decisions.

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 biostatistics activities on clinical development teams: design studies, author protocols and statistical analysis plans, perform/validate analyses, interpret and communicate results, support regulatory submissions, mentor team members, and ensure adherence to BMS standards and trial methodology.

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.