About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking experienced Chemistry and Computational Chemistry specialists to contribute to a specialized AI training and evaluation project focused on advanced scientific reasoning.
We welcome candidates with a Master's degree or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related discipline. We particularly value PhD holders who have transitioned into industry software engineering, data science, computational research, or other technology-focused roles, as well as researchers with strong practical laboratory or computational experience.
Candidates should have deep expertise in at least one relevant chemistry specialization and the ability to evaluate complex scientific problems, workflows, and reasoning processes.
CONTRACT: Contractor
LOCATION: US, Canada, Australia, New Zealand, UK, and selected Southeast Asian countries
EDUCATION: Master's or PhD required.
ENGLISH: C1 or higher.
AI EXPERIENCE: Not required.
Key Responsibilities
- Design, evaluate, and critique advanced chemistry and computational chemistry problems, workflows, and scientific reasoning chains.
- Provide expert-level insights into reaction mechanisms, synthesis planning, spectroscopy interpretation, molecular simulations, and electronic structure methods.
- Evaluate experimental protocols, simulation parameters, and scientific software configurations for accuracy, reliability, and reproducibility.
- Analyze chemical, spectroscopic, and computational data and provide scientifically grounded recommendations.
- Assess AI-generated chemistry solutions for technical accuracy, logical consistency, and scientific validity.
- Contribute domain expertise to the development and validation of chemistry-focused AI models and benchmarking initiatives.
- Review complex scientific problems and identify methodological errors, unsupported conclusions, and gaps in reasoning.
- Document findings, methodologies, and scientific best practices.
- Communicate technical findings clearly to researchers, engineers, and other project collaborators.
Requirements
Master's or PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a closely related scientific discipline.
Substantial hands-on research or professional experience in a relevant chemistry specialization.
Experimental chemistry candidates must demonstrate practical wet-lab experience.
Computational chemistry candidates must demonstrate substantial computational or simulation-based research experience.
PhD holders with industry experience in software engineering, data science, computational science, or related technology roles are particularly encouraged to apply.
Deep expertise in at least one of the listed chemistry disciplines.
Professional written and spoken English proficiency at C1 level or higher.
Proficiency in Python and/or relevant scientific software.
Excellent quantitative, analytical, and scientific reasoning skills.