Senior Computational Chemist, Drug Discovery (EMEA)

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Requirements:

• PhD in computational physics, computational chemistry, or a related discipline.
• 1-5 years of relevant experience in computational chemistry applied to drug discovery.
• Experience in structure-based and ligand-based drug design methods.
• Familiarity with GPU-accelerated MD codes like OpenMM.
• Proficiency in Python data science stack including Numpy, Pandas, Scipy.
• Knowledge of ligand-protein free energy of binding prediction methods.
• Experience in running computational chemistry/quantum simulations on high-performance computing environments.
• Interest in solving scientific problems using computational methods.

Responsibilities:

• Apply computational solutions to address unmet drug discovery needs.
• Collaborate with the AI Sim development team to enhance technology and Large Quantitative Models (LQMs).
• Use SandboxAQ's computational platform for high-impact drug discovery solutions.
• Translate insights from various computational methods into actionable drug discovery hypotheses.
• Work with ML experts and cross-functional teams on impactful drug design solutions.
• Develop and deploy computational methods and workflows for hypothesis generation.