Research Scientist - Computational Chemistry

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

Job Overview Monarch is seeking a Computational Chemist to lead our molecular modeling efforts to predict how insects respond to olfactory stimuli. Reporting directly to the Chief Technology Officer, your work will be critical in validating the efficacy of machine-learning-predicted compounds across multiple insect species. Key Responsibilities •Develop and apply computational models to predict the molecular interactions between compounds and olfactory receptors •Conduct quantum mechanical calculations, molecular docking, and dynamics simulations to refine predictions •Analyze data from computational experiments to prioritize compounds for lab and field validation Location This is a full-time, on-site position based in Oakland, CA. Why Join Monarch? Building an alternative to insecticides is one of the most important technical challenges of our time. Monarch is developing a product that works—a spatial repellent that protects crops from insects, humans from toxins, and insects from needless harm. If that mission motivates you, consider applying. [link] g. Python), data analytics, and reporting (experience with Pandas, NumPy, Jupyter). •Proficiency in advanced molecular modeling techniques and associated software (skilled in docking, molecular dynamics simulations, rational design or ligand design). Experience with psi4, MDAnalysis, FreeSASA, AutoDock Vina, AutoDock 4. •Familiarity with cheminformatics tools (Open Babel, RDKit) and basic machine learning/AI applications in computational chemistry, including protein structure prediction (AlphaFold or similar) •Strong work ethic •Ability to work in a creative, fast-paced environment: prototyping ideas, iteratively optimizing them, and multi-tasking. About Monarch Building an alternative to insec

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.