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Open nowFirst seen 4 days ago

Head of AI

immunai/37.00912 open roles

Where
Ramat Gan
Work mode
Hybrid
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Your applicationOpen nowHead of AIimmunai/37.009 · Ramat Gan

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. immunai/37.009 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 4 days ago

immunai/37.009 median: 1 days open

The posting

About Immunai:

Immunai is an AI-driven platform company focused on improving drug discovery and development by decoding the human immune system.

We combine large-scale single cell immune data, advanced machine learning, and strong engineering to help pharmaceutical and research partners make better, more informed decisions throughout the drug development process.

Our long-term goal is to reduce drug development failure rates and help more effective medicines reach patients. We’re building this platform thoughtfully and collaboratively, bringing together expertise across biology, AI, engineering, and business.

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 a group of 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?

Group 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/.

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