Structural Biology & Drug Discovery Scientist - Remote
YO AI Labs · Remote (United States)
Posted January 21, 1970
AI Summary
YO AI Labs is seeking PhD-level chemistry experts on a remote contract basis to support an AI training project in scientific reasoning and model evaluation. The role involves designing chemistry problems, analyzing reaction mechanisms and simulation data, and benchmarking chemistry-related AI models, requiring strong computational chemistry and Python skills. No prior AI experience is needed.
Job Description
STEM Expert – Chemistry & Computational Chemistry (PhD)
Role Type: Contractor
Location: Remote – Worldwide
Job Summary
We are seeking chemistry experts to support an AI training project focused on scientific reasoning, chemical analysis, computational chemistry, and model evaluation. Prior AI experience is not required.
Required Skills
- Organic, Inorganic, Physical, or Analytical Chemistry
- Computational Chemistry and Molecular Dynamics
- Reaction Mechanisms and Synthesis Planning
- Spectroscopy and Electronic Structure Methods
- Python and Scientific Programming
- Gaussian, ORCA, Psi4, GROMACS, LAMMPS, or RDKit
- Quantitative Analysis and Scientific Reasoning
- Technical Documentation and Communication
Responsibilities
- Design and evaluate chemistry problems and workflows.
- Analyze reaction mechanisms, spectroscopy, and simulation data.
- Optimize experimental protocols and computational methods.
- Support chemistry-related AI model testing and benchmarking.
- Document scientific findings and provide expert feedback.
Qualifications
- PhD in Chemistry, Computational Chemistry, Chemical Biology, Materials Science, or a related field.
- Hands-on laboratory or computational research experience.
- Deep expertise in at least one relevant chemistry domain.
- Strong Python or specialized scientific software skills.
- Excellent analytical, problem-solving, and communication skills.
Preferred Qualifications
- Postdoctoral, academic, or research scientist experience.
- Peer-reviewed publications or scientific software contributions.
- Experience with AI/ML-assisted chemistry workflows.
- Background in drug discovery, reaction prediction, or retrosynthesis.
Originally posted on Himalayas
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