STEM Expert Chemistry and Computational Chemistry PhD
OpenTrain AIThe 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.
Requirements
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.
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.
Experience: Mid-Senior level
Skills: Computational Chemistry, Structural Bioinformatics, Cheminformatics, Proteomics & Metabolomics, Documentation, Verbal communication, Biology, organic chemistry, physical chemistry
Open to applicants in
Algeria
Argentina
Austria
Bahrain
Bangladesh
Belgium
Brazil
Canada
Chile
Colombia
Denmark
Egypt
France
Germany
Ghana
Greece
India
Indonesia
Italy
Japan
Jordan
Kazakhstan
Kenya
Kuwait
Kyrgyzstan
Lebanon
Malaysia
Mexico
Morocco
Netherlands
Nigeria
Oman
Pakistan
Palestine
Peru
Philippines
Portugal
Qatar
Saudi Arabia
Singapore
South Africa
Spain
Sri Lanka
Switzerland
Taiwan
Thailand
Tunisia
United Arab Emirates
United Kingdom
United States
Uzbekistan
Vietnam
Preferred
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.