Staff Computational Scientist, Magnetic Materials

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SandboxAQ

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🔒 Cybersecurity

💊 Pharmaceuticals

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ is a company developing quantitative AI and quantum-inspired technologies to solve real-world problems across drug discovery, materials science, cybersecurity, and navigation. They build large quantitative models (LQMs) grounded in physics and chemistry to predict molecular properties, accelerate therapeutic design, and simulate complex chemical and catalytic processes, while also applying their expertise in AI and post-quantum cryptography to enhance digital security and navigation in GPS-denied environments.

📋 Description

• Own the scientific charter and technical roadmap for the Magnets vertical • Oversee the translation of generative design outputs into a robust IP portfolio • Build, lead, and mentor a multidisciplinary team of research scientists • Specify and prioritize the magnetism-aware LQM, data generation, and multi-scale modeling capabilities required from the AISim platform • Lead scientific engagement with national lab and industrial partners • Architect the feedback loops between computational modeling and experimental lab validation • Work closely with the commercial team to identify buyers for IP and structure agreements • Author external scientific narratives for updates, publications, conferences, and investors

🎯 Requirements

• PhD in Materials Science, Physics, Chemistry, or a related discipline • 5+ years of post-PhD experience leading scientific programs in magnetic materials • Demonstrated ability to translate first-principles, multi-scale, and ML-driven modeling into manufacturable magnet formulations • Track record of building and leading multidisciplinary scientific teams • Outstanding external scientific presence: publication and patent record

🏖️ Benefits

• Comprehensive health, dental, and vision insurance • 401(k) with company match • Generous parental leave • Flexible hybrid work arrangements • Generous PTO • Culture that respects focus time and recovery • Direct exposure to CHIPS Act-funded programs • Senior scientific and executive leadership mentorship • Dedicated learning budgets for continued growth