112 applicants

Company

SandboxAQ · 11 hours ago

Computational Scientist (Catalysis)

United States

Full-time

Remote

Entry, Mid Level

$150K/yr - $245K/yr

1+ years exp

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Artificial Intelligence (AI)Cyber Security

H1B Sponsor Likely

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Responsibilities

Lead design and implementation of computational workflows simulating reactivity and dynamics of catalytic materials at atomic, mesoscale, and continuum scales.

Prepare reports, presentations, and publications to communicate research findings to internal, academic, and industry partners.

Support business functions in materials science pre-sales customer technical diligence and proposals.

Support client engagements on the research and development of novel materials.

Collaborate with software engineering to improve efficiency and performance of discovery workflows.

Mentor junior scientists and interns in computational methods, ensuring best research and software practices.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Chemical EngineeringMaterials ScienceChemistrySilico catalyst discoveryMicrokinetic modelingMachine-learned force fieldsPythonComputational materials analysisHPC environmentAI/MLSoftware developmentAgile

Required

PhD in Chemical Engineering, Materials Science, Chemistry or a related discipline

Extensive experience concerning in silico catalyst discovery (heterogeneous or homogeneous) and optimization with 1-4 years of post-PhD experience, including at least 1 year in an industry environment.

Proven experience providing in silico support to experimental groups working on catalyst design and/or optimization, including microkinetic modeling.

Hands-on experience in developing machine-learned force fields for materials discovery.

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

Ability to collaborate effectively within interdisciplinary teams.

Preferred

Experience or coursework in AI/ML.

Experience developing software in an industrial setting as part of a software engineering team.

Familiarity with software development best practices (e.g., Agile).

Quick learner with the ability to adapt to emerging technologies, methodologies, and advancements in catalysis research.

Benefits

Annual discretionary bonuses

Equity

Competitive salaries

Stock options depending on employment type

Generous learning opportunities

Medical/dental/vision

Family planning/fertility

PTO (summer and winter breaks)

Financial wellness resources

401(k) plans

Company

SandboxAQ

SandboxAQ is an enterprise SaaS company that provides AI and quantum solutions.

Founded in 2016

Palo Alto, California, USA

51-200 employees

https://www.sandboxaq.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (1)

2022 (4)

2021 (2)

2020 (8)