SandboxAQ

Research Scientist, Catalyst Simulation

United States · Junior

Sponsorship not specifiedDetected 53 days ago

PythonMachine LearningEpicResearchLeadershipCommunicationCollaborationMentoringPublic Speaking

About the role

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

Develop large-scale datasets and machine-learned force fields or potentials for materials discovery.
Deploy and support the design and implementation of computational workflows simulating the reactivity and dynamics of catalytic materials across atomic, mesoscale, and continuum scales.
Support client engagements focused on the research, development, discovery, and optimization of novel heterogeneous catalyst materials.
Support business functions with technical diligence and proposal development for pre-sales customer engagements.
Prepare and deliver high-impact reports, presentations, and publications to communicate research findings to internal, academic, and industry partners.
Experience developing and utilizing modern atomistic simulation methods, including machine-learned force fields and microkinetic models for heterogeneous catalysis.

PhD in Chemical Engineering, Materials Science, Chemistry, or an equivalent/related discipline, or equivalent practical experience.
Experience performing in silico catalyst discovery and/or optimization projects.
Ability to collaborate effectively within diverse, interdisciplinary teams.
Guidance for candidates on using AI Tools in interviews https://www.sandboxaq.com/ai-in-interviews

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

Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.
Collaborate with platform, machine learning, and software engineering teams to continuously improve the efficiency and performance of discovery workflows.
Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.

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

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 https://www.sandboxaq.com/ai-in-interviews

ill receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status

This listing is sourced directly from SandboxAQ's careers page and normalized into a canonical job model.