STEM Expert – Chemistry & Computational Chemistry (PhD)

Overview

micro1 is building AI systems for scientific domains. This role involves using your PhD-level chemistry expertise to evaluate, design, and critique chemistry problems and workflows to help train AI models, shaping how they learn to reason about molecular systems and reactions.

What You’ll Do

• Design, evaluate, and critique chemistry and computational chemistry problems, workflows, and reasoning chains to support AI benchmarking initiatives
• Provide expert-level insights on reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods
• Assess and optimize experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility
• Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations
• Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators
• Document findings, methodologies, and best practices to ensure knowledge transfer

Requirements

• PhD in chemistry, computational chemistry, chemical biology, materials science, or closely related field
• Hands-on research lab experience, including wet lab experience for experimental subfields, or extensive simulation-heavy research for computational subfields
• Deep expertise in at least one of: organic synthesis, inorganic chemistry, physical/theoretical chemistry, analytical chemistry, computational chemistry, cheminformatics, or materials science
• Professional written and spoken English (C1 or higher)
• Proficiency in Python and/or industry-standard tools (Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit)
• Excellent quantitative, analytical, and scientific reasoning skills
• Outstanding written and verbal communication abilities