SaidGig

Computational Chemist for AI Model Training

$40–$60/hr

RemoteContractscience
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About this role

As a Computational Chemistry Expert, you will leverage your advanced knowledge to train next-generation AI systems, influencing how models learn and perform through high-quality, real-world data input. This role is pivotal in shaping AI benchmarking initiatives and enhancing the capabilities of chemistry-related AI models and tools.

Key Responsibilities:
  • Design, evaluate, and critique advanced computational chemistry workflows to support AI benchmarking initiatives.
  • Provide expert-level insights on molecular simulations, electronic structure methods, and cheminformatics pipelines.
  • Assess and optimize simulation parameters and scientific software configurations for accuracy and reproducibility.
  • Analyze data from molecular dynamics, quantum chemistry, and drug discovery projects, providing actionable recommendations.
  • Leverage domain knowledge to guide the development and validation of chemistry-related AI models and tools.
  • Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
  • Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.
Qualifications:
  • PhD in chemistry, computational chemistry, or a closely related field, or equivalent industry/research experience.
  • Deep expertise with computational chemistry methods and simulation-heavy environments is desirable.
  • Proficiency with industry-standard tools such as Gaussian, ORCA, Psi4, NWChem, GROMACS, LAMMPS, AMBER, RDKit, or OpenBabel is ideal.
  • Strong scientific programming and analytical workflow experience, especially using Python.
  • Excellent quantitative, analytical, and scientific reasoning skills.
  • Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
  • Track record of rigorous scientific problem-solving in complex chemistry domains.
Preferred Qualifications:
  • Experience with AI/ML-assisted chemistry workflows or benchmarking.
  • Peer-reviewed publications, patents, or contributions to open-source scientific software.
  • Background in drug discovery, spectroscopy analysis, or reaction prediction/retrosynthesis.
Work Terms:

Contract position with remote work flexibility.

Compensation:

Hourly rate ranging from $40 to $60.

Eligibility:

Open to candidates with the required qualifications and experience.

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