Senior Application Scientist, Process Chemical Discovery

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the scientific liaison between the generative chemistry discovery process and external partners who are validating candidate molecules.

• Serve as the primary scientific contact for co-development partners, addressing problem definitions, target specifications, constraints, and qualification criteria on a daily basis.

• Manage the generative chemistry discovery workflow for PFAS-substitution applications.

• Evaluate predicted compounds for their chemical plausibility and suitability for specific use cases.

• Prioritize candidates and create decision-ready shortlists for partner experimental validation.

• Evaluate generative and simulation outputs against constraints related to semiconductor processes, performance, and environmental, health, and safety (EHS) requirements.

• Convert partner validation results and experimental data into actionable technical enhancements.

• Oversee technical improvements through multiple design iterations.

• Collaborate with teams focused on datasets, computational chemistry, machine learning, and generative modeling.

• Ensure alignment of property targets, screening oracles, and reward objectives with partner qualification standards.

⛳️ Requirements

• PhD in Chemistry, Chemical Engineering, Materials Science, or a related field.

• Over 3 years of post-PhD experience (or equivalent) in industrial or applied R&D focused on developing, formulating, or qualifying high-purity performance materials and formulations to replace existing processes without compromising required properties.

• Knowledge of performance and EHS specifications that govern process-material qualification.

• Experience in bridging experiments and computations on application-driven projects with external partners.

• Proficient in Python, enabling the execution and configuration of computational discovery workflows and the interpretation of results.

• Comfortable collaborating with teams specializing in generative machine learning and physics-based simulations.

• Familiarity with generative molecular design, high-throughput virtual screening, or machine learning property predictions for molecules and materials.

• Experience in defining qualification protocols or reliability criteria in collaboration with fabs, original equipment manufacturers (OEMs), or chemical suppliers.

• Practical hands-on experience with PFAS phase-out or fluorine-free reformulation in a fabrication or specialty chemicals environment.

• Understanding of semiconductor unit processes, such as lithography, etching, chemical-mechanical polishing (CMP), cleaning, or thermal management.

• Proven track record of publications or patents in semiconductor materials, fluorochemistry, or PFAS alternatives.

• Experience working within a CHIPS Act or other federally funded R&D program.

• Candidates must not participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea.

• Must have legal authorization to work in the country where the position is located.

🏝️ Benefits

• Equity and performance-based incentives.

• Comprehensive health, dental, and vision insurance.

• 401(k) plan with company matching.

• Generous parental leave policy.

• Flexible hybrid work options.

• Generous paid time off (PTO).

• Direct involvement in CHIPS Act-funded initiatives.

• Mentorship opportunities.

• Dedicated budgets for learning and development.

• Opportunities for professional growth.