We are looking for a driven and experienced leader to manage a growing interdisciplinary team of LLM Agentic AI Researchers, Computational Biologists, and Immunologists. This teams mission is to build a cutting-edge agentic reasoning system powered by Large Language Models (LLMs), capable of generating structured, biologically grounded sequential explanations based on predictions from proprietary foundation model-trained on hundreds of millions of immune cells. The product the team builds is a pillar of AI strategy, with the potential to redefine the way a drugs mode of action is understood.
Location: Ramat Gan, Israel (hybrid model)
What You'll Do:
Set the Vision - Collaborate with product leadership to transform bold ideas into AI capabilities that impact real-world medical decisions.
Build and Lead the Team - Coach, build and inspire a high-caliber team across LLMs, data science, and Immunology. Cultivate a culture of excellence, curiosity, and execution.
Drive Innovation - Lead from the front-design architectures, write prototypes, and guide technical direction. Lead the team in building agents that reason about biological systems at scale.
Ship Transformative Products - Deliver AI products & solutions that move the needle for and its partners - from static biological associations to dynamic, explanatory models of causality.
Showcase Leadership - Represent the team and top-tier scientific conferences and publications, communicating groundbreaking research to the world.
Requirements: MSc or PhD in Computer Science, Computer Engineering, Computational Biology or a related field.
Strong data science/computational/statistics background - deep understanding of and experience working with complex data
Strong ML/AI background with experience translating AI research into production and building robust systems
2+ years of successful technical leadership and management experience
Experience with LLM APIs (e.g., OpenAI, Anthropic) and agentic AI frameworks (e.g., LangGraph, LangChain, MCP) - preferred
This position is open to all candidates.