Research Scientist, Catalyst Simulation
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- 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.
- 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.
- 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.
Benefits
- Competitive compensation
- Comprehensive benefits package
- Opportunities for professional growth
- Competitive base salary
- Performance-based incentives or bonuses (where applicable)
- Equity participation
- Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions
- Retirement savings with company matching
- Paid parental leave
- Inclusive family-building benefits
- Fully remote
- Flexible paid time off
- Company-wide seasonal breaks
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
