Research Scientist - Computational Chemistry

Monarch is seeking a Computational Chemist to lead molecular modeling efforts to predict insect responses to olfactory stimuli, and contribute to developing a spatial repellent to protect crops and humans from toxins.

Requirements

• PhD (or Master's degree + 7 years industrial experience) in biophysics, biochemistry, chemistry, engineering, or equivalent, with a computational emphasis
• Skilled in scientific programming (e.g. Python, Pipeline Pilot) and data analytics (e.g. Spotfire, Pandas, Jupyter)
• Proficiency in general molecular modeling techniques (docking, molecular simulation, homology modeling, quantum mechanics, ligand and structure-based design)
• Familiarity with cheminformatics tools (e.g., AutoDock, Open Babel, RDKit) and machine learning applications in computational chemistry
• Experience with odorant-binding protein/olfactory receptor modeling is a strong plus
• Strong work ethic

Benefits

• Competitive salary and benefits
• Opportunity to work on a critical and impactful project
• Collaborative and dynamic work environment
• Professional development and growth opportunities