Team Lead - LLM Agents for Biological Reasoning

About Immunai:

Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.

As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.

Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role:

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 team’s 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 Immunai’s proprietary foundation model—trained on hundreds of millions of immune cells. The product the team builds is a pillar of Immunai’s AI strategy, with the potential to redefine the way a drug’s 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 Immunai and its partners - from static biological associations to dynamic, explanatory models of causality.
• Showcase Leadership - Represent the team and Immunai in top-tier scientific conferences and publications, communicating groundbreaking research to the world.
  
  

• MSc or PhD in Computer Science, Computational Biology, Systems Immunology, or a related field.
• Demonstrated research experience via peer-reviewed publications or major open-source contributions.
• Deep familiarity with:
• Molecular Biology - must have domain knowledge
• LLM APIs (e.g., OpenAI, Anthropic)
• Python software engineering best practices
• Machine Learning, NLP, and high-dimensional data modeling
• Agentic AI frameworks (e.g., LangGraph, LangChain, MCP) – preferred
  
  

• 2+ years of successful technical leadership and management experience.
• Proven track record of:
• Attracting and retaining exceptional talent
• Meeting strategic goals and shipping impactful products
• Driving complex projects from ideation to delivery
• Bias toward action, ownership, and structured problem solving.
  
  

• You want to make an impact on humankind
• You prioritize “We” over “I”
• You enjoy getting things done and striving for excellence
• You collaborate effectively with people of diverse backgrounds and cultures
• You have a growth mindset
• You are candid, authentic, and transparent
• When you apply for a role at Immunai, we process your personal data (such as CV, contact details, and professional background) to assess your suitability for current and future roles. Your information may be shared internally with relevant employees and stored or processed by trusted service providers, some of whom may be located outside your country of residence. You can read more about how we process data here: https://www.immunai.com/privacy-policy/.