Research Scientist, Homogeneous Catalyst Simulation
SandboxAQ · Remote · United States ·
COMPENSATION
$168k – $252k
Listed on the employer's job board (Ashby)
- Fully remote position
- PhD in Chemistry required
- Python + HPC experience
- Quantum chemistry focus
- Global interdisciplinary team
Join the Computational Catalysis team at SandboxAQ to solve real-world challenges in chemical, pharmaceutical, and energy sectors. You will leverage proprietary computational tools and collaborate with experts in AI, chemistry, and software engineering to optimize molecular catalytic systems.
The role involves designing computational workflows, developing large-scale datasets, and creating machine learning models for catalyst discovery. You will support industrial partners and contribute to high-impact research publications while mentoring junior scientists.
What you'll do
- Design computational workflows to study reaction mechanisms and catalyst speciation
- Support homogeneous catalyst discovery projects with industrial partners
- Develop large-scale quantum chemistry datasets and machine learning models
- Provide technical diligence and proposal support for pre-sales engagements
- Collaborate with engineering teams to improve discovery workflow efficiency
- Publish research findings and present to academic and industry partners
- Mentor junior scientists and interns in computational methods
What you'll need
- PhD in Chemistry, Chemical Engineering, Materials Science, or related field
- Experience with atomistic simulation methods for homogeneous catalysis
- Proficiency in quantum chemistry, kinetics, and data-driven models
- Strong Python development skills for computational chemistry tasks
- Experience implementing open-source packages in HPC environments
- Proven ability to collaborate in diverse, interdisciplinary teams
- Strong publication record demonstrating interdisciplinary work
Nice to have
- 3+ years of industrial R&D experience supporting experimental groups
- Familiarity with experimental methods like organometallic synthesis
- Experience developing software in an industrial Agile environment
- Willingness to travel occasionally for partner meetings
Stack
- Python
- HPC
- Quantum Chemistry
- Machine Learning
How you'll work
- Fully remote work arrangement
- Flexible paid time off policy
- Company-wide seasonal breaks
- Occasional travel for in-person meetings
What you get
- Competitive base salary and equity participation
- Performance-based incentives or bonuses
- Comprehensive medical, dental, and vision coverage
- Retirement savings with company matching
- Paid parental leave and family-building benefits
- Access to internal learning and development programs