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Staff Materials Research Scientist, PFAS Alternative Discovery

SandboxAQ· AI Simulation
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Remote$163.2k - $306kFull-timePosted 2mo ago

About the role

Staff Materials Research Scientist bridging generative chemistry discovery with external partner validation to develop PFAS-lean or PFAS-free substitutes for semiconductor process materials, combining generative ML, physics-based simulation, and experimental validation with co-development partners.

Responsibilities

  • Own the partner validation loop. Serve as the primary scientific point of contact between the PFAS team and external co-development partners, translating partner problems into target specifications, constraints, and qualification criteria.
  • Run the discovery workflow and rank candidates. Operate the generative chemistry discovery workflow; assess predicted compounds for plausibility and fit, and produce decision-ready shortlists for experimental validation.
  • Apply semiconductor domain judgment. Evaluate generative and simulation outputs for directional/qualitative correctness and validate lead molecules against process constraints and EHS requirements.
  • Close the experimental feedback loop. Translate partner validation results into actionable technical improvements for the team and ensure incorporation in successive design cycles.
  • Align targets across internal teams. Collaborate with internal dataset, computational chemistry, ML, and generative-modeling teams to keep targets and rewards aligned with partner criteria.

Qualifications

  • PhD in Chemistry, Chemical Engineering, Materials Science, or related field with specialization in semiconductor process materials and/or fluorochemistry
  • 6+ years of post-PhD experience in industrial/applied R&D developing or qualifying semiconductor process chemicals, including PFAS-lean/PFAS-free alternatives
  • Working knowledge of semiconductor unit processes (lithography, etch, CMP, cleaning, thermal management) and related qualification specifications
  • Ability to lead external partner engagements and translate between experiments and modeling
  • Proficiency in Python to run and configure computational discovery workflows and collaborate with ML/physics teams
  • Familiarity with generative molecular design, high-throughput virtual screening, or ML property prediction for molecules/materials

Skills

Required:Partner engagement and requirements translationGenerative chemistry workflowSemiconductor process knowledgePython

Benefits

  • Competitive base salary plus 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
  • Dedicated learning budgets for growth
Last updated Sep 30, 2026. Interested? Apply on the company site.

About SandboxAQ

Transforming the World with AI and Advanced Computing

SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for global organizations.

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