About this role
Johnson & Johnson Innovative Medicine develops treatments that improve health worldwide, focusing on oncology, cardiovascular, retina disorders, immunology, and neuroscience. The Machine Intelligence team within Data Science and Digital Health AI/ML recruits a Senior Scientist for AI Agent Systems. This hybrid role has primary location in Barcelona, Spain, and secondary in Madrid.
The role shapes autonomous AI in drug discovery using Large Language Models and advanced data science techniques. Harness massive datasets from scientific literature, omics, and biomolecular knowledge. Accelerate therapeutics to clinical trials with faster, accurate reasoning agents.
Key focus includes multimodal reasoning, agent robustness and uncertainty, agent memory architecture, and agent motivation frameworks. Work within a mission-driven team to innovate across healthcare solutions. Contribute to J&J's expertise in Innovative Medicine and MedTech.
Prototype approaches to enhance agent reliability and decision-making in discovery workflows. Benchmark performance against human experts and publish in leading journals. Profoundly impact health for humanity through AI-driven breakthroughs.
Requirements
- Ph.D. degree in AI/ML or related field (e.g., computer science, machine learning, data science, applied mathematics, statistics)
- At least two (2) years working experience
- Experience with Large Language Models (LLMs) and advanced data science techniques
- Proficiency in handling massive datasets spanning scientific literature, omics, and biomolecular knowledge
- Knowledge of multimodal reasoning, agent robustness, uncertainty quantification, and memory architectures
- Ability to prototype AI agents for drug discovery workflows
Responsibilities
- Develop and optimize multimodal reasoning systems that integrate scientific literature, omics data, chemical information, and structured data
- Build novel agent memory architectures to enable persistent knowledge retention and context-aware decision-making
- Prototype and evaluate new approaches for uncertainty quantification and reliability assessment in AI-driven scientific reasoning
- Serve as a domain expert articulating emerging AI/ML approaches and their practical applications
- Benchmark agent performance against human expert decisions and existing computational methods, and publish results
Benefits
- Hybrid role with flexible locations in Barcelona and Madrid
- Work on breakthroughs in drug discovery and healthcare innovation
- Contribute to treatments improving lives worldwide
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