Senior Scientist, AI/ML Cheminformatics

Job Description

Our Research Laboratories South San Francisco are focused on driving discovery research. Our new multi-disciplinary discovery research site offers state-of-the-art resources to explore the most promising science combined with our world-class R&D expertise in small molecules and biologics. Located within the heart of the Bay Area’s biomedical community, research conducted in our new laboratories spans exploratory biology through early clinical development and is an integral part of our powerful world-class network of drug and vaccine discovery. 

We are inspired by the belief that a research-driven enterprise dedicated to scientific excellence can create medicines and vaccines that save and improve lives. Every employee is building on our proud legacy of scientific breakthrough. Our ability to impact the lives of patients worldwide depends on the integrity, creativity, humility and scientific acumen of our team. We are creating a diverse organization that is inspired by invention and founded on a culture of respect and collaboration. At our Research Labs South San Francisco, you’ll have the opportunity to expand your knowledge and skills through collaboration with talented and dedicated colleagues while advancing your career. 

Our company is currently seeking a highly motivated and exceptional scientist with a focus on advanced AI/ML approaches for small molecule modeling in the Computational and Structural Chemistry department at our South San Francisco site. The successful candidate will join multidisciplinary, highly collaborative discovery teams both locally and across the global network to contribute to the invention of novel medicines. This role involves both the development of innovative computational methods involving machine learning and computational chemistry, as well as direct application of advanced computational approaches to the invention of novel medicines. 

Key Responsibilities: 

• Developing new workflows, including deep learning workflows, that enable the discovery of new medicines 

• Contribute to virtual screening and multi-parameter lead optimization for small molecules, peptides, and antibody-drug conjugates 

• Collaborate with interdisciplinary discovery teams to apply a variety of informatics and modeling techniques to identify new drug discovery leads and accelerate the evolution of leads to drug candidates 

• Continuing research in areas of machine learning and molecular modeling relevant to drug discovery, and maintaining an external scientific presence through high-impact publications and presentations 

• Education, mentoring, and sharing of AI/ML knowledge across the department and adjacent groups 

 Position Qualifications: 

Required Education: 

• Ph.D. (or close to completion) in biophysics, biochemistry, chemistry, computational chemistry, computer science, applied math, engineering or related discipline

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