At Bristol Myers Squibb, we are transforming the future of drug discovery and development. We approach biology as a computational and engineering challenge, harnessing predictive science, automation and advanced technologies to decode complex biological systems and accelerate therapeutic innovation.
We actively seek strategic partnerships with academic innovators, technology developers and biotech companies advancing breakthrough research and enabling technologies that complement and extend our R&D capabilities.
Next-generation discovery platforms:
- Targeted protein degradation: Innovative platforms that enable selective and efficient degradation of disease-driving proteins
- Single-cell omics: High-resolution genomics and proteomics platforms revealing cellular mechanisms and heterogeneity
- Label-free target engagement: Real-time, non-invasive approaches to assess drug-target interactions in living systems
- Novel target discovery: Discovery platforms identifying new biological targets, including those relevant to neuromuscular and neurodegenerative diseases
- Protein structure innovation: Emerging platforms advancing the speed, precision and scalability of protein structure determination
- Automated chemical synthesis: High-throughput and AI-enabled synthesis technologies to accelerate compound generation, optimization, and access to novel chemical space
Novel modalities and biotherapeutics
- Novel biotherapeutics: Next-generation biologic modalities — including multi-specifics, immune cell engagers and engineered scaffolds — that expand therapeutic mechanisms beyond traditional antibodies
- T-cell engagers: Innovative T-cell engager formats designed to improve therapeutic index, potency and selectivity in oncology and immunology
- Novel modalities for difficult-to-drug targets: Emerging molecular architectures and delivery strategies that enable modulation of previously intractable targets
- Antibody-drug conjugates (ADCs): Novel targets, including post-translationally modified forms, supported by strong mechanistic rationale and preclinical validation
Innovative ADC payloads
- Dual payloads: Combining complementary payload mechanisms to overcome resistance and broaden efficacy
- Novel mechanism payloads: Payloads with new biological mechanisms, such as TOPO1 inhibitors, that enhance selectivity and therapeutic index
- Degrader antibody conjugates (DACs): Hybrid modalities that merge targeted degradation with antibody-directed delivery for enhanced tumor specificity
- Access to new chemical matter: Macrocycle and fragment libraries that broaden chemical diversity and structural innovation
Cell and Gene Therapy Enablers
- In Vivo CAR-T and Advanced Cell Therapies: Technologies enabling direct in-body programming and delivery of CAR-T and other engineered immune cells
- Engineered and Stable Cell Lines: Platforms that improve protein expression, product quality, and manufacturing scalability
- Advanced Delivery Systems: Viral and non-viral delivery platforms, including blood-brain barrier (BBB)–penetrant and payload-based systems for precise targeting
- Microfluidics and Imaging Platforms: High-throughput functional screening, 3D bioprinting, and AI-driven imaging for dynamic cell analysis and tissue mapping
Drug Delivery and Formulation Technologies
- Enhanced Absorption and Bioavailability: Technologies that improve GI uptake and enable alternative delivery routes (colonic, intraoral, subcutaneous, intra-tumoral).
- Protein Stabilization and Concentration: Solid-state stabilization strategies supporting high-concentration parenteral formulations
- Controlled Release and Delivery Devices: Platforms providing precise control over drug release and administration
- Peptide Delivery Technologies: Solutions that enhance permeability, stability, and therapeutic exposure of peptide-based drugs
Computational and Translational Innovation
- Artificial Intelligence and Machine Learning: Predictive, generative, and optimization tools that accelerate discovery and early development
- Systems Biology and Mechanistic Modeling: Integrated computational frameworks for pharmacologic and toxicologic prediction
- Translational Preclinical Models: Human-relevant and disease-specific models improving predictability of clinical outcomes
- Companion Digital Therapeutics: Digital solutions that complement therapeutics, optimize care delivery, and enhance patient engagement