Principal Scientist II, AI-Guided Antibody Drug Conjugate Design
Core
Lead the application of AI/ML to design next-generation antibody-drug conjugates (ADCs) with improved efficacy, safety, and manufacturability.
Role type
Principal Scientist II, AI-Guided Antibody Drug Conjugate Design
Builds
Novel antibody formats, conjugation strategies, and predictive frameworks for ADC discovery
Domain
Biopharmaceuticals / Oncology / Immunology / Computational Biology
Deliverable
production ML models
Required skills
Antibody engineering, Machine learning, Deep learning, Generative AI, Protein engineering, ADC pharmacology, Computational drug design, Multidisciplinary team leadership, Data strategy
Preferred skills
Protein language models, Graph neural networks, Structural biology modeling, AlphaFold, Molecular dynamics, Cryo-EM, X-ray crystallography, Multimodal learning, Bispecific ADCs
Technologies
Generative AI, Protein language models, Graph neural networks, AlphaFold, Molecular dynamics, Cryo-EM, X-ray crystallography
Responsibilities
Develop and implement AI/ML models to guide ADC discovery and optimization, Build predictive models for critical ADC properties, Apply generative AI and structure-based design approaches, Integrate multi-omics and chemical datasets, Inform engineering of monoclonal antibodies, Design strategies for site-specific conjugation, Guide experimental validation of engineered antibodies, Develop predictive frameworks connecting linker chemistry to efficacy, Partner with chemistry teams to advance payload delivery, Establish data strategies and computational workflows
Seniority
Principal, hands-on IC with strategic influence
