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Scientific Advisory Board (SAB) Member

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Engagement Type: Advisory (Part-time)
Time Commitment: 4–6 hours per quarter
Location: US / Europe / Asia
Role Overview

Our client is an AI infrastructure company building tools purpose-built for breakthrough science. The company operates at the intersection of advanced computing and frontier research, enabling accelerated discovery and innovation across critical scientific domains.

They are seeking 4–6 distinguished advisory members from academia and industry to provide strategic guidance on how advanced AI can be effectively applied to accelerate scientific and technological progress.

Advisors will play a critical role in shaping the company’s direction, validating technical approaches, and connecting the organization to the relevant ecosystems.

Key Responsibilities
  • Provide strategic guidance on the application of AI across frontier scientific domains

  • Advise on technical direction, feasibility, and prioritization of research initiatives

  • Offer insights into emerging trends, funding landscapes, and innovation ecosystems

  • Facilitate introductions to relevant academic, industry, and government networks

  • Participate in periodic advisory calls and occasional deep-dive sessions

Ideal Candidate Profile

We are seeking individuals who combine deep domain expertise with a practical understanding of AI’s capabilities and limitations.

  • Senior academics (tenured professors, lab directors, national lab fellows) with a strong record of translational or commercially relevant research

  • Industry executives or former C-suite leaders with experience scaling deep-tech ventures or deploying advanced technologies in regulated environments

  • Scientists, technologists, or advisors with exposure to government, DoD, or DARPA-funded research ecosystems

Key Focus Areas

Advisors will bring expertise in one or more of the following domains:

  • Materials Science
    (Next-generation semiconductors, energy storage, smart and structural materials)

  • Life Sciences
    (Drug discovery, precision diagnostics, synthetic biology, longevity)

  • Quantum Technologies
    (Quantum computing hardware, sensing, communications, simulation)

  • Defence & National Security
    (Autonomous systems, directed energy, cyber/EW, biodefense)

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