About this role
Johnson & Johnson Innovative Medicine develops treatments that improve health worldwide across oncology, immunology, neuroscience, cardiopulmonary, and ophthalmology. Our goal is to help people live longer, healthier lives. We recruit a Senior Principal Scientist in AI/ML for Drug Discovery and Development.
The Data Science Analytics & Insights team creates innovative solutions using diverse data sources in oncology, cardiovascular, metabolic disorders, immunology, neuroscience, and infectious disease. This role works at the intersection of AI/ML and Life Science. Primary locations include Spring House PA, New Brunswick NJ, and Titusville NJ.
Collaborate with cross-disciplinary teams of AI/ML scientists, imaging experts, structural biologists, and computational chemists. Design and implement computational approaches to advance drug discovery. Deploy state-of-the-art models for predictive biology and molecule design.
Join a team pursuing promising science to transform lives by preventing, treating, and curing disease. Innovate across the full spectrum of healthcare solutions. Profoundly impact health for humanity through expertise in Innovative Medicine.
Requirements
- In-depth modelling expertise in multimodal AI for biology and design
- Experience with multi-modal and multi-omics predictive and generative biology
- Proficiency in molecular property prediction, drug repurposing, and safety translation
- Knowledge of generative molecule design and manufacturability prediction
- Skills in AI-driven causal analysis and experimental design
- Ability to innovate beyond applying existing AI/ML methods
- Background at intersection of AI/ML and Life Science
Responsibilities
- Design, develop, and deploy state-of-the-art AI/ML models for multi-modal and multi-omics predictive and generative biology
- Develop models for molecular property and risk prediction, drug repurposing and safety translation
- Create generative molecule design and manufacturability prediction models
- Perform AI-driven causal analysis and experimental design
- Innovate at the frontier of multimodal AI for biology and design
- Work closely with cross-disciplinary team of AI/ML scientists, imaging experts, structural biologists, and computational chemists
- Design and implement computational approaches for drug discovery
- Analyze data to advance AI/ML applications in drug development
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