Head of AI at Immunai

Ramat Gan, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, Deep Learning, Machine Learning, AI Systems, Software Engineering, Python, Distributed Systems, Cloud, Data Platforms, MLOps, Research Integration, Collaboration, Communication, Patient Outcomes, Scientific Rigor, Technical Strategy

Industry

Biotechnology Research

Description

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 developing an end-to-end AI stack that is applied to our proprietary, massive immunology database, in order to generate novel insights into disease biology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to actionable therapeutics development recommendations, that continuously supports and validates the capabilities of our platform. As drug development is becoming increasingly inefficient, our 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’re seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems—from prototyping to reliable, secure, production deployment. The Head of AI will manage deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities. Location: Ramat Gan, Israel (hybrid model) What will you do? Team Leadership & Growth Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery. Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture. Technical Strategy & Delivery Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety). Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization. Research Integration & Innovation Stay current with the literature; run journal clubs and technical deep dives. Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems. Cross‑Functional Collaboration Translate biological and clinical questions into tractable AI projects with measurable impact. Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions. Mission & Impact Prioritize initiatives that advance patient outcomes and create cumulative platform value. Balance speed with scientific integrity, security, and compliance. Requirements Required qualifications: People Leadership – 10+ years managing and developing technical teams (mix of deep learning researchers, data scientists, and ML engineers). Engineering & AI Depth – Proven record architecting, building, and deploying large‑scale AI systems; strong software engineering foundations (Python, distributed systems, cloud, data platforms, MLOps). Research Fluency – Up‑to‑date on modern AI; advantage for hands‑on work with transformers and reasoning/agent systems, or demonstrated ability to quickly partner with computational teams to connect the dots and make sound architectural choices. Communication – Excellent written and verbal communication; able to align diverse stakeholders and influence at executive level, able to represent company’s AI vision externally. Mission Orientation – Driven to improve patient outcomes; execution‑focused and committed to building durable value. Collaboration & Low Ego – Highly cooperative, credits the team, and optimizes for collective success. Preferred Qualifications: Strong advantage: Background in molecular biology/biomed, or success applying AI in complex, data‑rich, or regulated domains (e.g., computational biology, bioinformatics, immunology, healthcare). Track record bridging research and product (publications, patents, or deployed systems with measurable impact). Desired personal traits: 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/.

Responsibilities

Lead and mentor a team of researchers and engineers in developing AI systems for drug discovery. Own the AI roadmap and ensure the integration of cutting-edge methods into robust systems.