Lead Medicinal Chemist, AI-Driven Drug Development
2 weeks ago
Lifelancer is seeking a highly skilled Lead Medicinal Chemist to join our esteemed team in AI-Driven Drug Development. This role will be pivotal in driving innovation and discovery through the application of cutting-edge computational chemistry techniques.
Key Responsibilities:- Develop and implement advanced computational solutions to address unmet drug discovery needs
- Collaborate closely with our AI Simulation development team to enhance our proprietary technology and Large Quantitative Models (LQMs) for delivering impactful results at scale
- Utilize our computational platform to provide high-impact drug discovery solutions, pushing the boundaries of traditional methodologies
- Translate complex insights from molecular dynamics, free energy perturbation, molecular docking, quantum, and machine learning methods into actionable and testable drug discovery hypotheses
- Work seamlessly with multidisciplinary teams, including ML experts, to prototype and scale innovative, impactful drug design solutions
- Hold a PhD in computational physics, computational chemistry, or a related discipline
- Enjoy 1-5 years of relevant experience, including hands-on expertise in computational chemistry applied to drug discovery within the private sector, such as biotech or pharma
- Demonstrate experience in structure-based drug design and familiarity with ligand-based drug design methods
- Have a proven track record in running GPU-accelerated MD codes like OpenMM, with a deep understanding of the Python data science stack (Numpy, Pandas, Scipy, etc.)
- Familiarity with ligand-protein free energy of binding prediction methods like Free Energy Perturbation (FEP) or similar
- A keen interest in solving complex scientific problems in chemistry and biology via computational and data-driven methods
- A strong drive to cooperate with colleagues to identify challenges and communicate technical solutions effectively
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