Research Scientist, Catalyst Simulation

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
134K-252K Annually
Mid level
Artificial Intelligence • Software
The Role
Design and implement computational workflows to investigate homogeneous catalytic cycles, support catalyst discovery and optimization with industry partners, develop large-scale quantum chemistry datasets and ML models, collaborate with platform and engineering teams to improve discovery workflows, lead client engagements, and mentor junior scientists while communicating results via reports and publications.
Summary Generated by Built In
About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

As a Research Scientist on our Computational Catalysis team, you will join a dedicated team of subject matter experts, computational scientists, software developers, and machine learning experts, leveraging an ensemble of state-of-the-art proprietary computational tools to solve real-world challenges.

In this role, you will be responsible for supporting one or more of the following core focus areas:

  • Supporting the design and implementation of computational workflows to study reaction mechanisms, catalyst speciation, selectivity, and reactivity in molecular catalytic systems.

  • Supporting homogeneous catalyst discovery and optimization projects with our industrial partners in the chemical, pharmaceutical, and energy sectors.

  • Developing large-scale quantum chemistry datasets and machine learning models for homogeneous catalysis.

Key Responsibilities
  • Project & Client Leadership

    • Support client engagements focused on the research, development, discovery, and optimization of novel homogeneous catalysts, ligands, and reaction conditions.

    • Support business functions with technical diligence and proposal development for pre-sales customer engagements.

  • Technical Execution & Innovation

    • Deploy and support the design and implementation of computational workflows to investigate catalytic cycles, elementary reaction steps, transition states, catalyst speciation, and structure-selectivity relationships in homogeneous catalysis.

    • Collaborate with platform, machine learning, and software engineering teams to continuously improve the efficiency and performance of discovery workflows.

    • Develop large-scale datasets and machine-learned models for molecular catalyst and reaction discovery.

  • Communication & Mentorship

    • Prepare and deliver high-impact reports, presentations, and publications to communicate research findings to internal, academic, and industry partners.

    • Mentor junior scientists and interns in catalysis, reaction engineering, and computational methods, championing best research and software practices.

Essential Skills & Experience
  • PhD in Chemistry, Chemical Engineering, Materials Science, or an equivalent/related discipline, or equivalent practical experience.

  • Experience developing and utilizing modern atomistic simulation methods for homogeneous catalysis, including quantum chemistry, machine learning potentials, reaction-path analysis, kinetics, and data-driven models.

  • Experience performing in silico catalyst discovery and/or optimization projects, with emphasis on molecular catalyst design, mechanism elucidation, and selectivity control.

  • Strong background in software development with Python, particularly for computational chemistry and reaction analysis, and experience implementing open-source packages in an HPC environment.

  • Ability to collaborate effectively within diverse, interdisciplinary teams.

  • A strong publication record demonstrating interdisciplinary collaboration and the ability to adapt to new technologies and methodologies in catalysis research.

Highly Desired Skills & Experience
  • 3+ years of proven industrial R&D experience supporting experimental groups with computational studies for homogeneous catalyst discovery, mechanism elucidation, or selectivity optimization.

  • Hands-on experience or familiarity with experimental methods for homogeneous catalysis research (e.g., organometallic synthesis, reaction screening, spectroscopy, and mechanistic studies).

  • Experience developing software in an industrial setting as part of a software engineering team, with familiarity with software development best practices like Agile.

  • Willingness to travel occasionally for in-person meetings with industrial partners.

Why Join Us?

We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

  • Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.

  • Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.

  • Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

  • Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Skills Required

  • PhD in Chemistry, Chemical Engineering, Materials Science, or equivalent practical experience.
  • Experience developing and utilizing modern atomistic simulation methods for homogeneous catalysis, including quantum chemistry, machine learning potentials, reaction-path analysis, kinetics, and data-driven models.
  • Experience performing in silico catalyst discovery and/or optimization projects, emphasizing molecular catalyst design, mechanism elucidation, and selectivity control.
  • Strong software development background with Python for computational chemistry and reaction analysis; experience implementing open-source packages in an HPC environment.
  • Ability to collaborate effectively within diverse, interdisciplinary teams.
  • Strong publication record demonstrating interdisciplinary collaboration and adaptability to new catalysis technologies and methodologies.
  • 3+ years of proven industrial R&D experience supporting experimental groups with computational studies for homogeneous catalyst discovery, mechanism elucidation, or selectivity optimization.
  • Hands-on experience or familiarity with experimental methods for homogeneous catalysis research (organometallic synthesis, reaction screening, spectroscopy, mechanistic studies).
  • Experience developing software in an industrial setting as part of a software engineering team, familiar with software development best practices like Agile.
  • Willingness to travel occasionally for in-person meetings with industrial partners.

SandboxAQ Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SandboxAQ and has not been reviewed or approved by SandboxAQ.

  • Fair & Transparent Compensation Compensation is positioned to benchmark against premium markets with published ranges for many roles, and hiring in Total Rewards indicates formalizing bands and policies. Feedback suggests this positioning aims for competitive, equitable, and transparent pay practices.
  • Healthcare Strength Health coverage includes medical, dental (with orthodontics), and vision alongside dedicated mental‑health platforms and a wellness stipend. This breadth indicates a robust core healthcare offering.
  • Parental & Family Support Family support includes 100% paid maternity and paternity leave, family‑planning and fertility benefits, and a family‑care stipend. These elements align with strong support for different family needs.

SandboxAQ Insights

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The Company
HQ: Palo Alto, CA
248 Employees
Year Founded: 2021

What We Do

SandboxAQ is harnessing the exponential power of AI + Quantum (AQ) technology. The inspiration for SandboxAQ and some of the team originated at Alphabet Inc., becoming an independent entity in 2022. Our mission is to develop commercial products for financial services, healthcare, telecommunications, public sector, and other computationally-intensive industries. Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences, and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough physics + AI solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar. We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events, and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM

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