STEM Expert Chemistry and Computational Chemistry PhD

OpenTrain AI, Inc.; United States; Teletrabalho; USD 62 000 - 124 000; Tempo parcial

Resumo da oferta

OpenTrain AI, Inc. seeks a STEM Expert in Chemistry and Computational Chemistry on a part-time contract to advance AI systems through chemistry problem-solving and rigorous review.

You will work on experimental and computational chemistry, assess mechanisms and simulations, and document methods and best practices for knowledge transfer. Applicants must hold a PhD in chemistry or related field, be fluent in English, and proficient with tools like Gaussian, ORCA, Psi4, GROMACS, LAMMPS, and RDKit.

Qualificações

• PhD in chemistry or related field.
• Hands-on wet-lab or simulation research experience preferred.
• Proficiency in Python and scientific software.

Responsabilidades

• Evaluate and improve AI systems using chemistry problem-solving and technical review.
• Assess reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
• Review experimental protocols, simulation parameters, and software configurations for accuracy and reproducibility.
• Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
• Help develop and validate chemistry-related AI models and tools.
• Document methods, findings, and best practices for clear technical knowledge transfer.

Conhecimentos

Quantitative analysis

Scientific reasoning

Documentation

Communication

Formação académica

PhD in chemistry

Computational chemistry background

Ferramentas

Python

Gaussian

ORCA

Psi4

GROMACS

LAMMPS

RDKit

Descrição da oferta de emprego

STEM Expert Chemistry and Computational Chemistry PhD

Evaluate and improve AI systems using chemistry and computational chemistry expertise. This part-time contract pays $45 to $90 per hour and requires a relevant PhD, strong English, and scientific software skills.

The work

You will help evaluate and improve AI systems through chemistry problem-solving and technical review. The work covers both experimental and computational chemistry, with a focus on accurate reasoning, reproducible methods, and useful scientific recommendations.

• Design, evaluate, and critique chemistry and computational chemistry problems for AI benchmarking.
• Assess reaction mechanisms, synthesis planning, spectroscopy analysis, molecular simulations, and electronic structure methods.
• Review experimental protocols, simulation parameters, and scientific software configurations for accuracy and reproducibility.
• Analyze chemical, spectroscopic, and simulation data and provide actionable recommendations.
• Help develop and validate chemistry-related AI models and tools.
• Document methods, findings, and best practices for clear technical knowledge transfer.

What it pays and takes

This is a part-time contractor role for candidates with advanced chemistry expertise. The work may suit someone focused on experimental chemistry, computational research, or both.

• Pay: $45 to $90 per hour.
• Location: Open to candidates in the countries listed for this role, including the United States, Canada, the United Kingdom, India, Japan, Brazil, and other eligible locations.
• Education: PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
• Research background: Hands-on wet-lab research experience for experimental work, or extensive simulation-focused research for computational work.
• Expertise: Deep knowledge in at least one chemistry specialty.
• Language: Professional written and spoken English at C1 level or higher.
• Tools: Proficiency in Python or scientific tools such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit.
• Core skills: Quantitative analysis, scientific reasoning, documentation, and communication.
• Helpful background: Postdoctoral research, research scientist or faculty experience, peer-reviewed publications, patents, open-source scientific software, chemistry benchmarking with AI or machine learning, drug discovery, reaction prediction, or retrosynthesis.