Chemistry & Computational Chemistry Expert - Remote

YO AI Labs; New York (NY); Remote; USD 165,000 - 276,000; Part time

Job summary

YO AI Labs seeks a STEM Expert – Chemistry & Computational Chemistry (PhD) to support AI training projects in scientific reasoning, computational chemistry, and chemical analysis. This remote, contractor role emphasizes design of coursework, data analysis, and method benchmarking.

The ideal candidate holds a PhD in Chemistry or related field, with hands-on lab or computational experience, and can communicate technical findings clearly. Flexible worldwide remote work is offered.

Qualifications

• PhD required with hands-on research in chemistry or related field.
• Experience with computational chemistry workflows.
• Strong analytical and programming skills.
• Ability to document methods and findings clearly.

Responsibilities

• Design and evaluate chemistry problems and workflows.
• Analyze reaction mechanisms, spectroscopy, and simulation data.
• Optimize experimental protocols and computational methods.
• Support AI model evaluation and benchmarking.
• Document scientific findings and provide expert feedback.

Skills

Chemistry domains

Computational chemistry & MD

Reaction mechanisms & synthesis

Spectroscopy & electronic structure

Python & scientific programming

Data analysis & reasoning

Technical documentation

Education

PhD in Chemistry or related field

Tools

Gaussian

ORCA

Psi4

GROMACS

LAMMPS

RDKit

Job description

STEM Expert – Chemistry & Computational Chemistry (PhD)

Role Type: Contractor
Location: Remote – Worldwide

Job Summary

We are seeking chemistry experts to support an AI training project focused on scientific reasoning, computational chemistry, and chemical analysis.

Required Skills

• Organic, Inorganic, Physical, or Analytical Chemistry
• Computational Chemistry and Molecular Dynamics
• Reaction Mechanisms and Synthesis Planning
• Spectroscopy and Electronic Structure Methods
• Python and Scientific Programming
• Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit
• Quantitative Analysis and Scientific Reasoning
• Technical Documentation and Communication

Responsibilities

• Design and evaluate chemistry problems and workflows.
• Analyze reaction mechanisms, spectroscopy, and simulation data.
• Optimize experimental protocols and computational methods.
• Support AI model evaluation and benchmarking.
• Document scientific findings and provide expert feedback.

Qualifications

• PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a related field.
• Hands-on laboratory or computational research experience.
• Expertise in at least one relevant chemistry domain.
• Strong analytical, programming, and communication skills.

Preferred Qualifications

• Postdoctoral or academic research experience.
• Peer-reviewed publications or scientific software contributions.
• Experience with AI/ML-assisted chemistry workflows.
• Background in drug discovery, reaction prediction, or retrosynthesis.