STEM Expert – Chemistry & Computational Chemistry (PhD)

pay

Required Skills
Computational Chemistry
Structural Bioinformatics
Cheminformatics
Proteomics & Metabolomics
Documentation
Verbal communication
Biology
organic chemistry
physical chemistry
About micro1
micro1 is a data lab that helps AI labs & Enterprises train foundational models and agents. We provide frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Our AI recruiting agent sources and vets domain experts for our data platform that enables rapid production of high-quality training data. Our research spans high-value, specialized domains (legal, medical, finance, coding, etc.), where expert-level data is the hardest to produce and most valuable for advanced model performance. Our pipeline performance system ensures both quality and velocity.

Role Title: STEM Expert – Chemistry & Computational Chemistry (PhD)

Role Type: Contractor

Location: Remote (Worldwide)

Job Summary: In this role, you’ll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities

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 across the customer’s team.

Areas of Expertise (we welcome applicants from any of the following):

Organic synthesis & reaction mechanisms
Inorganic & organometallic chemistry
Physical & theoretical chemistry
Analytical chemistry & spectroscopy
Computational chemistry & molecular dynamics
Cheminformatics & drug discovery
Materials science & polymer chemistry

Required Skills and Qualifications:

PhD
in chemistry, computational chemistry, chemical biology, materials science, or a 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 the areas listed above.
Professional written and spoken English (C1 or higher).
Proficiency in Python and/or industry-standard tools in your subfield (e.g., Gaussian, ORCA, Psi4, GROMACS, LAMMPS, RDKit).
Excellent quantitative, analytical, and scientific reasoning skills.
Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
Track record of rigorous scientific problem-solving in complex chemistry domains.

Preferred Qualifications

Academic experience
(postdoc, research scientist, faculty, or equivalent), strongly preferred.
Peer-reviewed publications, patents, or contributions to open-source scientific software.
Experience with AI/ML-assisted chemistry workflows or benchmarking.
Background in drug discovery, reaction prediction, or retrosynthesis.

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