Remote Computational Chemist (PhD) for AI-Driven Chemistry

NEPSE Trading; United States; Remote; USD 83,000 - 138,000; Part time

Job summary

RemoteYO AI Labs in the United States seeks STEM experts in chemistry and computational chemistry (PhD) for a contractor role. This remote, worldwide position focuses on AI training projects, scientific reasoning, chemical analysis, and model evaluation.

You will design and evaluate chemistry problems, analyze reaction mechanisms and spectroscopy data, and optimize computational methods. Strong Python or scientific software skills and publication history are valued.

Qualifications

• PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a related field
• Hands-on laboratory or computational research experience
• Deep expertise in at least one relevant chemistry domain
• Strong Python or specialized scientific software skills
• Excellent analytical, problem-solving, and communication skills
• Preferred Qualifications Postdoctoral, academic, or research scientist experience
• Peer-reviewed publications or scientific software contributions
• Experience with AI/ML-assisted chemistry workflows
• Background in drug discovery, reaction prediction, or retrosynthesis

Responsibilities

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

Skills

Python

Molecular dynamics

Spectroscopy

Data analysis

Chemical reasoning

Education

PhD in Chemistry or related field

Tools

Gaussian

ORCA

Psi4

GROMACS

RDKit

LAMMPS

Job description

RemoteYO AI Labs in the United States seeks STEM experts in chemistry and computational chemistry (PhD) for a contractor role. This remote, worldwide position focuses on AI training projects, scientific reasoning, chemical analysis, and model evaluation.

You will design and evaluate chemistry problems, analyze reaction mechanisms and spectroscopy data, and optimize computational methods. Strong Python or scientific software skills and publication history are valued.