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micro13D AGO

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

micro1 / Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD)

RATE

$45 - $90/HR

LOCATION

REMOTE (GLOBAL)

DESCRIPTION

Role Title: Computational Chemistry, Structural Biology & Drug Discovery Scientist (PhD) Role Type: Contractor Location: Remote (Worldwide) Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. Key Responsibilities • Design and write challenging, expert-level scientific problems in computational chemistry, structural biology, and drug discovery, with clear, verifiable solutions. • Review and evaluate AI model outputs for scientific accuracy, rigor, and depth of reasoning, identifying subtle errors that non-specialists would miss. • Develop detailed rubrics and reference answers grounded in the primary literature and established methodology. • Apply domain expertise across areas such as molecular modeling and simulation, protein structure prediction and design, virtual screening and docking, QSAR/ADMET modeling, and proteomics/metabolomics data analysis. • Provide clear written explanations of your reasoning, so that other experts can follow and validate it. • Meet quality standards through iterative feedback and peer review cycles. Required

REQUIREMENTS

  • ▸(MUST)
  • ▸PhD in Computational Chemistry, Structural Biology, Biophysics, Bioinformatics, Medicinal Chemistry, Biochemistry, or a closely related field.
  • ▸Hands-on research experience in an academic or industry lab (wetlab experience is a plus).
  • ▸Professional written and spoken English (C1 or higher).
  • ▸Preferred Skills
  • ▸Postdoctoral or industry research experience (pharma/biotech) in drug discovery or structural biology.
  • ▸Strong publication record, particularly first-author papers in relevant journals.
  • ▸Molecular modeling and simulation: GROMACS, AMBER, NAMD, OpenMM, free energy methods (FEP/TI).

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