Senior Scientist – Ai Agent Systems For Drug Development
Johnson & Johnson Innovative Medicine
Cornellà de Llobregat, Spain
Hybrid
Ai agent systems
Large language models (llms)
Multimodal reasoning
Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions
Job Summary
Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions.
Build novel agent memory architectures to enable persistent knowledge retention and context-aware decision-making across extended discovery workflows.
Benchmark agent performance against human expert decisions and existing computational methods and demonstrate ability to publish results in leading journals and conferences.
Matching Summary
Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions.
Skills & Requirements
Must-have
AI Agent Systems
Large Language Models (LLMs)
multimodal reasoning
agent memory architecture
uncertainty quantification
Bayesian inference
PyTorch or Tensorflow
Nice-to-have
drug discovery pipeline
biological data types
chemical engineering
protein engineering
manufacturing-related fields
cloud hosting solutions
Key Requirements
Ph.D. degree in AI/ML or related field
at least two (2) years working experience
Proficiency with open-source agentic frameworks
Proficiency in one or more programming languages – preferably Python