Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)
- Pay
- $45–$90/hour
- Where
- Remote
- Type
- Contract
- Eligibility
- Open worldwide
- Listing
- Last verified Oct 16, 2026
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Overview
Build and review specialist computational chemistry, structural biology and drug-discovery problems for AI training and evaluation.
Responsibilities
- Write demanding expert-level problems with unambiguous, verifiable solutions in computational chemistry, structural biology and drug discovery.
- Assess AI answers for scientific correctness, rigor and reasoning depth, including subtle errors non-specialists could miss.
- Create detailed rubrics and reference answers using primary research literature and established methods.
- Apply expertise in molecular modelling and simulation, protein-structure prediction and design, virtual screening and docking, QSAR/ADMET models, and proteomics/metabolomics analysis.
- Explain reasoning clearly in writing so other experts can follow and check it.
- Meet quality requirements through iterative feedback and peer-review cycles.
Requirements
- A PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry or a closely related field.
- Hands-on research in an academic or industry laboratory; wet-lab experience is a plus.
- Professional spoken and written English at C1 level or higher.
Preferred
- Postdoctoral or pharma/biotech industry research in drug discovery or structural biology.
- A strong publication record, especially first-author articles in relevant journals.
- Molecular modelling and simulation using GROMACS, AMBER, NAMD, OpenMM and free-energy methods such as FEP/TI.
- Structure prediction and design using AlphaFold, Rosetta, homology modelling and cryo-EM/X-ray crystallography interpretation.
- Docking and virtual-screening tools such as AutoDock, Glide, Schrodinger Suite and MOE.
- Cheminformatics with RDKit, QSAR/QSPR, ADMET prediction, fingerprinting and library design.
- Proteomics/metabolomics using LC-MS/MS, MaxQuant, DIA/DDA workflows, PTM analysis and untargeted metabolomics.
- Programming in Python, described by the source as required in practice, plus R, Bash or similar; machine learning for molecular properties, including GNNs and generative models, is a plus.
- Benchmarking, model-evaluation or scientific-writing/review experience.
- Ability to explain difficult scientific ideas precisely and clearly in writing.
Engagement and pay
- Pay: $45-$90 per hour (USD).
- Remote contractor. Weekly hours, engagement length and start date are not stated.
Eligibility
- The source explicitly states Remote (Worldwide).