Senior Scientist, Computational Chemistry

Role Summary

Location: South San Francisco. As a Senior Scientist (R3) in the Modeling and Informatics group, you will collaborate with medicinal chemists, structural biologists, pharmacologists, and biologists to advance drug discovery projects. You will apply advanced computational techniques and develop innovative computational methods to accelerate medicines that improve patients' lives.

Responsibilities

• Collaborate with multidisciplinary teams to discover new drugs
• Spearhead the modeling and informatics initiatives on project teams, strategically applying computational methodologies throughout all stages of the drug discovery process
• Utilize various informatics and modeling techniques to analyze large datasets and accelerate the evolution of drug discovery leads to drug candidates
• Engage in research in areas of molecular modeling relevant to drug discovery and maintain an external scientific presence through publications and presentations

Qualifications

• Required: Programming/scripting proficiency in Python, including experience manipulating large datasets
• Required: Familiarity with Linux and high-performance computing
• Required: Strong written and oral communication skills, and ability to work well in multidisciplinary teams
• Required: Evidence of creative application of computational chemistry approaches to problems of biological interest, demonstrated through multiple publications and external presentations
• Preferred: Experience applying computational methods such as molecular dynamics, quantum chemistry, and deep learning to problems of biological interest
• Preferred: Experience with lead identification and lead optimization of diverse therapeutic modalities
• Preferred: Ability to use molecular modeling packages such as MOE, Schrodinger, and OpenEye
• Preferred: Have experience with Cheminformatics tools such as Spotfire to analyze and visualize the data
• Preferred: Excited to learn and implement novel technologies including AI/ML to advance the pipeline
• Preferred: Experience working in multidisciplinary teams that include experimental scientists

Education

• Ph.D. (or completion by July 2026) in Computational Chemistry, Biophysics, Chemistry, Biochemistry or related field and relevant experience

Skills

• Biochemistry
• Biophysics
• Chemistry
• Computational Chemistry
• Data Science
• Drug Discovery Process
• High Performance Computing (HPC)
• Informatics
• Linux
• Machine Learning (ML)
• Molecular Modeling
• Python (Programming Language)
• Quantum Chemistry
• Scientific Modeling

Additional Requirements

• Travel: 10%