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Research Scientist - Computational Chemistry

Monarch· R&D
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Emeryville, CaliforniaFull-timePosted 11mo ago

About the role

Build the computational chemistry layer that connects molecular structure, physicochemical properties, formulation context, and observed mosquito or insect behavior to inform compound selection. Develop molecular representations and predictive models, quantify uncertainty, and design prospective evaluations in collaboration with experimental teams.

Responsibilities

  • Develop molecular representations and predictive models for compound effects on mosquito landing and related behavioral endpoints
  • Combine chemical structures and descriptors with formulation, dose, assay, environmental, and behavioral data
  • Design prospective evaluations that measure whether model-ranked compounds outperform conventional selection approaches
  • Quantify uncertainty, identify out-of-domain predictions, and propose experiments that distinguish competing chemical hypotheses
  • Partner with formulation chemists and machine-learning researchers to recommend the next compound, dose, formulation, or controlled variant to test
  • Build reproducible computational workflows with traceable structures, descriptors, model versions, and experimental outcomes
  • (Crop-protection variant similar responsibilities) Develop molecular representations and predictive models for insect landing on crops and related behavioral endpoints
  • Combine chemical structures and descriptors with formulation, dose, assay, environmental, and behavioral data
  • Design prospective evaluations that measure whether model-ranked compounds outperform conventional selection approaches
  • Quantify uncertainty, identify out-of-domain predictions, and propose experiments that distinguish competing chemical hypotheses
  • Partner with formulation chemists and machine-learning researchers to recommend the next compound, dose, formulation, or controlled variant to test
  • Build reproducible computational workflows with traceable structures, descriptors, model versions, and experimental outcomes

Qualifications

  • Ph.D. or equivalent research experience in computational chemistry, chemoinformatics, physical chemistry, medicinal chemistry, chemical engineering, or a related field
  • Experience with molecular descriptors, similarity methods, QSAR, molecular machine learning, or graph-based models
  • Strong Python skills and experience with tools such as RDKit or equivalent chemical-computing libraries
  • Ability to design leakage-resistant evaluations and interpret model performance in chemical rather than purely statistical terms
  • Clear scientific writing and close collaboration with experimental teams

Skills

Required:Molecular descriptorsPythonRDKit or equivalent

Benefits

  • Equity compensation included
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Monarch

Monarch is developing a scalable, precision-based approach to protect crops from insects.

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