Senior Scientist – AI Agent Systems for Drug Discovery
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today, delivering the breakthroughs of tomorrow and profoundly impacting health for humanity.
Primary location: Cornellà de Llobregat, Barcelona, Spain. Secondary location: Madrid, Spain. This is a hybrid role.
Job Function: Data Analytics & Computational Sciences
Job Sub Function: Data Science
Job Category: Scientific/Technology
Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for the role of Senior Scientist – AI Agent Systems for Drug Discovery. The Machine Intelligence (MI) team within Data Science and Digital Health (DSDH) AI/ML is looking for a mission‑driven Senior Scientist to help shape the future of autonomous AI in drug discovery and development. You will work with Large Language Models (LLMs) and advanced data science techniques, harnessing massive datasets spanning scientific literature, omics, and biomolecular knowledge to accelerate how we discover therapeutics and advance them to clinical trials.
Key Responsibilities
* Develop and optimize multimodal reasoning systems that integrate scientific literature, omics data, chemical information, and structured data to derive actionable conclusions.
* Build novel agent memory architectures to enable persistent knowledge retention and context‑aware decision‑making across extended discovery workflows.
* Prototype and evaluate new approaches for uncertainty quantification and reliability assessment in AI‑driven scientific reasoning.
* Serve as a domain expert, articulating emerging approaches and methodologies within AI/ML to team members with a clear understanding of their practical applications.
* Benchmark agent performance against human expert decisions and existing computational methods, and demonstrate the ability to publish results in leading journals and conferences.
Required Qualifications
* A Ph.D. in AI/ML or a related field (e.g., computer science, machine learning, data science, applied mathematics, statistics) with at least two (2) years of working experience.
* Knowledge in advanced mathematics areas such as Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, etc.
* Proficiency with open‑source agentic frameworks (e.g., LangGraph, DSPy, mem0) and deep learning frameworks (e.g., PyTorch, TensorFlow).
* Proficiency in at least one programming language, preferably Python.
* Positive and motivated demeanor with the ability to work both independently and in a diverse, multi‑disciplinary team.
Preferred (“nice‑to‑have”) Qualifications
* Understanding of the drug discovery pipeline and familiarity with biological data types.
* Strong understanding of statistics and applicable methods to validate model performance.
* Familiarity with cloud hosting solutions (e.g., AWS and/or Azure).
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or disability.
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