Senior Research Scientist, Catalyst Discovery
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Job Location:
Palo Alto, CA - USA
Yearly Salary:
$ 154 - 216
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
About SandboxAQ
SandboxAQ is a high-growth company delivering AI solutions that address some of the worlds greatest challenges. The companys 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 weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds 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.
About the Role:
As our Senior Catalyst Discovery Scientist you will be at the forefront of leading heterogeneous catalyst discovery and optimization projects with our industrial partners in the chemical and energy sectors. 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.
What Youll Do:
- Project & Client Leadership
- Lead client engagements focused on the discovery and optimization of novel heterogeneous catalyst materials.
- Support business functions with technical diligence and proposal development for pre-sales customer engagements.
- Technical Execution & Innovation
- Deploy proprietary computational workflows to simulate the reactivity and dynamics of catalytic materials across atomic mesoscale and continuum scales.
- Collaborate with platform and software engineering teams to continuously improve the efficiency and performance of our discovery workflows.
- 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 and reaction engineering championing best research practices.
What Youll Bring:
Minimum Qualifications:
- PhD in Chemical Engineering Chemistry or equivalent discipline or equivalent practical experience.
- 3 years of industrial R&D experience in heterogeneous catalysis and/or reaction engineering.
- Direct experience developing and utilizing microkinetic models in collaboration with laboratory experiments for catalyst design or process optimization.
- Familiarity with modern atomistic simulation methods for catalyst discovery either through direct experience or close collaboration with computational experts.
- A strong publication record demonstrating interdisciplinary collaboration and the ability to adapt to new technologies and methodologies in catalysis research.
- Basic programming skills including familiarity with Python.
Preferred Qualifications:
- Proven experience supporting experimental groups with DFT-based atomistic simulations and microkinetic modeling for catalyst discovery applications.
- Hands-on experience or familiarity with experimental methods for heterogeneous catalysis research (e.g. synthesis testing and characterization).
- Advanced software development skills with Python in a high-performance computing (HPC) environment especially for computational materials analysis.
- Experience or coursework in AI/ML with specific familiarity with recent developments in machine-learned force fields for materials discovery.
- Willingness to travel occasionally for in-person meetings with industrial partners.
The US base salary range for this full-time position is expected to be $154k-$216k per year. Our salary ranges are determined by role and level. Within the range individual pay is determined by factors including job-related skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.
SandboxAQ welcomes all.
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Machine Learning
- AI
- Bioinformatics
- Biochemistry
- Assays
- Research Experience
- Next Generation Sequencing
- Drug Discovery
- Research & Development
- Natural Language Processing
- Molecular Biology
About Company
SandboxAQ leverages the compound effects of AI and advanced computing to address some of the biggest challenges impacting society. SandboxAQ technologies include AI simulation, cryptography management for cybersecurity, and AI sensing for global organizations.
