Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)

What You'll Do6

• Compose challenging, verifiable problems in computational chemistry, structural biology, and drug discovery that test deep scientific reasoning.
• Assess AI model responses for accuracy, methodological soundness, and depth, catching subtle errors that non-specialists would overlook.
• Build detailed rubrics and reference answers based on primary literature and established methods.
• Apply expertise in areas such as molecular modeling, protein structure prediction, virtual screening, QSAR/ADMET modeling, and proteomics/metabolomics analysis.
• Write clear explanations of your reasoning so other experts can follow and validate your work.
• Meet quality standards through iterative feedback and peer review cycles.

Requirements3

• PhD in computational chemistry, structural biology, biophysics, bioinformatics, medicinal chemistry, biochemistry, or a closely related discipline.
• Hands-on research experience in an academic or industry lab.
• Professional written and spoken English at C1 level or higher.

Preferred Qualifications6

• Postdoctoral or industry research experience in pharma/biotech drug discovery or structural biology.
• Strong publication record, especially first-author papers in relevant journals.
• Molecular modeling and simulation: GROMACS, AMBER, NAMD, OpenMM, free energy methods (FEP/TI).
• Structure prediction and design: AlphaFold, Rosetta, homology modeling, cryo-EM/X-ray crystallography data interpretation.
• Docking and virtual screening: AutoDock, Glide, Schrödinger Suite, MOE.
• Cheminformatics: RDKit, QSAR/QSPR, ADMET prediction, fingerprinting, library design.

Who Should Apply

A PhD-level scientist with hands-on lab experience in computational chemistry, structural biology, or drug discovery who can write precise English and spot subtle scientific errors. You should be comfortable crafting expert problems and explaining your reasoning in writing.

Salary Insight