Senior Computational Chemist, Drug Discovery

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Requirements:

• PhD in computational physics, computational chemistry, or related discipline.
• 1-5 years of relevant experience in computational chemistry within biotech or pharma.
• Experience in structure-based drug design and familiarity with ligand-based methods.
• Proficient in GPU-accelerated MD codes like OpenMM.
• Familiarity with Python data science stack (Numpy, Pandas, Scipy, etc.).
• Knowledge of ligand-protein free energy of binding prediction methods.
• Experience in running computational simulations on high-performance computing environments.
• Interest in solving scientific problems in chemistry and biology.

Responsibilities:

• Apply computational solutions to address unmet drug discovery needs.
• Work closely with the AI Sim development team to enhance technology and Large Quantitative Models.
• Utilize the computational platform for high-impact drug discovery.
• Translate molecular dynamics and quantum insights into actionable drug discovery hypotheses.
• Collaborate with ML experts and cross-functional teams to develop advanced drug design solutions.
• Generate and evaluate hypotheses using developed computational methods.