Computational Chemistry, Structural Biology & Drug

You will help improve AI systems by creating difficult scientific problems, reviewing model responses, and explaining the reasoning behind your judgments. Your work will focus on computational chemistry, structural biology, drug discovery, and related molecular science.

You will use primary literature and established methods to create reference answers and detailed scoring guides. You will also take part in peer review and feedback cycles so other experts can validate the scientific quality of the work.

• Design challenging, verifiable problems in computational chemistry, structural biology, and drug discovery.
• Review AI-generated answers for scientific accuracy, rigor, depth of reasoning, and subtle technical errors.
• Create rubrics and reference solutions grounded in primary literature and established methodology.
• Apply knowledge of molecular modeling, protein structure prediction, virtual screening, docking, QSAR, ADMET, proteomics, and metabolomics.
• Explain scientific conclusions clearly for expert review and participate in iterative feedback and peer review.

This is remote contractor work with part-time employment status.

• Language: Professional written and spoken English at C1 level or higher.
• Education: PhD in computational chemistry, structural biology, biophysics, bioinformatics, medicinal chemistry, biochemistry, or a closely related field.
• Experience: Hands-on research experience in an academic or industry laboratory.
• Skills: Practical Python programming, strong scientific judgment, and precise technical writing.
• Relevant tools and methods include GROMACS, AMBER, NAMD, OpenMM, FEP, TI, AlphaFold, Rosetta, AutoDock, Glide, Schroedinger Suite, MOE, RDKit, QSAR, ADMET, and LC-MS/MS analysis.