Senior Application Scientist, Process Chemical Discovery

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $134k - $252k / year

⏰ Full Time

🟠 Senior

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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

• Serve as the scientific bridge between the generative chemistry discovery workflow and external partners validating candidate molecules • Work with co-development partners as a day-to-day scientific contact on problem definition, target specifications, constraints, and qualification criteria • Operate the generative chemistry discovery workflow for PFAS-substitution use cases • Assess predicted compounds for chemical plausibility and use-case fit • Rank candidates and produce decision-ready shortlists for partner experimental validation • Assess generative and simulation outputs against semiconductor process, performance, and EHS constraints • Translate partner validation results and experimental data into actionable technical improvements • Follow technical improvements through successive design cycles • Collaborate with dataset, computational chemistry, machine-learning, and generative-modeling teams • Align property targets, screening oracles, and reward objectives with partner qualification criteria

🎯 Requirements

• PhD in Chemistry, Chemical Engineering, Materials Science, or a related field • 3+ years of post-PhD experience (or equivalent) in industrial or applied R&D developing, formulating, or qualifying high-purity performance materials and formulations to replace an incumbent in an existing process without losing required properties • Familiarity with performance and EHS specifications governing process-material qualification • Experience bridging experiment and computation on application-driven projects with external partners • Proficiency in Python sufficient to run and configure computational discovery workflows and interpret outputs • Comfort collaborating with generative-ML and physics-based simulation teams • Familiarity with generative molecular design, high-throughput virtual screening, or ML property prediction for molecules and materials • Experience defining qualification protocols or reliability criteria jointly with fabs, OEMs, or chemical suppliers • Direct hands-on experience with PFAS phase-out or fluorine-free reformulation in a fab or specialty-chemicals setting • Working knowledge of semiconductor unit processes, including lithography, etch, CMP, cleaning, or thermal management • Track record of publications or patents in semiconductor materials, fluorochemistry, or PFAS alternatives • Experience operating within a CHIPS Act or other federally funded R&D program • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea • Must be legally authorized to work in the country where the job is located

🏖️ Benefits

• Equity and performance-based incentives • Comprehensive health, dental, and vision insurance • 401(k) with company match • Generous parental leave • Flexible hybrid work arrangements • Generous PTO • Direct exposure to CHIPS Act-funded programs • Mentorship • Dedicated learning budgets • Professional growth opportunities