Jobs at Bristol Myers Squibb

Develops and optimizes analytical methods for RNA therapeutics, lipid nanoparticles, antibodies, and related components. Performs method development, qualification, validation, transfer, routine testing, troubleshooting, data interpretation, and technical documentation. Collaborates with process development, formulation, research, manufacturing, CRO, and CDMO teams to support CMC strategies and program milestones. Operates and maintains analytical instrumentation while ensuring data quality, integrity, and regulatory compliance.

Leads the Machine Learning Sciences team applying machine learning to ADMET/PK prediction and small-molecule design. Sets scientific strategy, manages and mentors scientists, partners with computational scientists and drug discovery functions, improves model predictivity through validation against experimental data, evaluates emerging methods and technologies, and communicates strategy and results to senior leadership.

Leads the design and execution of global neuroscience clinical trials, potentially serving as Clinical Trial Lead. Responsibilities include protocol and informed consent development, clinical data review, training materials, regulatory and clinical study report contributions, literature review, and collaboration with cross-functional teams, investigators, external partners, and data management. The role requires clinical research knowledge, medical writing, project planning, and domestic and international travel.

Leads the bioconjugation team and sets enterprise strategy for ADC and antibody-RNA conjugate portfolios. Directs conjugate design, chemistry selection, linker and payload strategy, analytical evaluation, and platform development from target selection through candidate nomination and development transition. Partners with Chemistry, Biologics, Biology, DMPK, Toxicology, CMC, and external organizations while presenting portfolio strategies, data, and risks to governance groups. Drives standardized data capture, automation, and computationally enabled conjugate design.

Leads planning and execution of global neuroscience clinical trials, including startup, conduct, closeout, protocol and ICF development, data review, site training, clinical narratives, regulatory documents, and study reports. Provides scientific leadership to Clinical Scientists, collaborates with cross-functional teams and external partners, supports data monitoring committees, and contributes to clinical development planning. Requires expertise in GCP/ICH, drug development, study design, statistics, clinical operations, medical writing, and disease-area science.

Develops and scales lipid nanoparticle manufacturing processes from bench to pilot scale, performing optimization, characterization, analytical testing, and data interpretation. The role supports clinical manufacturing, technical documentation, regulatory activities, technology transfer, process investigations, and collaboration with R&D, analytical, manufacturing, and external partners. Candidates need expertise in nanoprecipitation, filtration, process analytics, DoE, cGMP, QbD, and LNP characterization techniques.

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.

Supports early pharmaceutical drug discovery through scientific data analysis, business requirements, workflow mapping, user stories, testing, validation, metadata, glossaries, and data governance. Partners with researchers, data engineers, product teams, and IT stakeholders to improve data products, align terminology and identifiers, clarify needs, track issues, and validate delivered capabilities. The role requires life sciences or technical education, research workflow familiarity, analytical communication skills, and at least two years of relevant experience or equivalent graduate research or internship experience.

Design and execute translational oncology studies to develop biomarker, pharmacodynamic, and target-engagement assays. Use flow cytometry, multiplexed and quantitative assays (ELISA, MSD, Luminex), functional genomics (CRISPR, RNAi, ORF), and in vitro/ex vivo models to inform clinical decision-making. Independently run experiments, troubleshoot, analyze data, coordinate with project teams and CROs, and co-author study reports and publications.

Lead clinical pharmacology strategy and execution across development programs. Apply PK/PD and model-informed drug development methods to design studies, analyze data, and support regulatory submissions. Serve as CP&P subject-matter expert on cross-functional teams, mentor staff, represent Clinical Pharmacology in governance, and contribute to departmental and business-development initiatives.

Leads preclinical and translational laboratory studies for late-stage immune-oncology programs. Generates data supporting biomarkers, patient selection, dosing, combinations, resistance mechanisms, and therapeutic differentiation. Collaborates with research and disease teams, supports external collaborations, maintains reports, presents findings, and contributes to clinical development strategy. Work includes in vitro immune-cell assays, flow cytometry, sequencing, in vivo tumor efficacy studies, immunophenotyping, and transcriptomic profiling.

Build and own governed, AI-ready translational data products using Databricks, AWS, SQL, and Python. Develop ETL and normalization pipelines, unlock and catalog scientific data sources, create data models and mappings, validate data through automated tests, and deploy reliable containerized services with infrastructure as code. Partner with translational scientists, data owners, data scientists, and ML engineers to support clinical, molecular, assay, and GenAI use cases while maintaining security, governance, monitoring, and continuous delivery standards.

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.

Lead program management for neuroscience assets, partnering with the Global Program Lead to define and execute Integrated Development Plans and Target Product Profiles. Drive cross-functional timelines, risk management, budget/resource oversight, governance interactions, and matrix/team leadership to deliver global regulatory submissions and enterprise-significant development strategies.

Lead clinical strategy and oversight for early-phase neuroscience programs. Manage matrixed Global Clinical Physicians, design and interpret Phase I and translational studies, drive biomarker development, interact with regulators and KOLs, and ensure GCP/compliance while mentoring teams to advance pipeline assets.

Leads medical oversight and strategic execution for Phase 1–3 neuroscience clinical trials. Responsibilities include medical data and safety review, protocol design, benefit-risk assessment, investigator and thought-leader engagement, clinical development strategy, health authority interactions, regulatory documentation, and cross-functional study leadership.

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.

Provide medical accountability and oversight for Phase 1-3 neuroscience clinical trials. Lead medical monitoring, safety assessment, eligibility review, protocol input, and investigator engagement. Collaborate cross-functionally with Clinical Scientists and Worldwide Patient Safety, support regulatory interactions, and author clinical content for reports and submissions.