STEM Expert – Chemistry & Computational Chemistry (PhD)

What You'll Do7

• Create, assess, and critique chemistry and computational chemistry problems, workflows, and reasoning chains for AI benchmarking.
• Offer expert-level analysis of reaction mechanisms, synthesis planning, spectroscopy, molecular simulations, and electronic structure methods.
• Review and refine experimental protocols, simulation parameters, and software configurations to ensure accuracy and reproducibility.
• Examine chemical, spectroscopic, and simulation data and deliver actionable recommendations.
• Apply your domain knowledge to guide the development and validation of chemistry-related AI models and tools.
• Explain complex scientific concepts in writing and speech to both technical and non-technical collaborators.
• Document findings, methodologies, and best practices to support knowledge transfer within the customer's team.

Requirements8

• PhD in chemistry, computational chemistry, chemical biology, materials science, or a closely related field.
• Hands-on research lab experience, including wet lab work for experimental subfields or extensive simulation-heavy research for computational subfields.
• Deep expertise in at least one of these areas: organic synthesis and reaction mechanisms, inorganic and organometallic chemistry, physical and theoretical chemistry, analytical chemistry and spectroscopy, computational chemistry and molecular dynamics, cheminformatics and drug discovery, or materials science and polymer chemistry.
• Professional written and spoken English at C1 level or higher.
• Proficiency in Python and/or industry-standard tools in your subfield, such as Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit.
• Strong quantitative, analytical, and scientific reasoning skills.
• Excellent written and verbal communication abilities, with the capacity to document and explain technical concepts clearly.
• A track record of rigorous scientific problem-solving in complex chemistry domains.

Preferred Qualifications4

• Academic experience (postdoc, research scientist, faculty, or equivalent).
• Peer-reviewed publications, patents, or contributions to open-source scientific software.
• Experience with AI/ML-assisted chemistry workflows or benchmarking.
• Background in drug discovery, reaction prediction, or retrosynthesis.

Who Should Apply

This role suits a PhD-level chemist or computational chemist with deep expertise in at least one subfield and a strong research background. You should be comfortable with Python or standard simulation tools and able to communicate complex ideas clearly in English. If you have academic experience and a record of rigorous problem-solving, this is for you.

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