Computational Chemist - Target Druggability and Structure-Based Design

Schrödinger seeks a Computational Chemist (Target Druggability and Structure-Based Drug Design) to join us in our mission to transform the discovery of therapeutics!

As a member of the Schrödinger Therapeutics Group (STG), you’ll join a team  of over 60 scientists that includes designers, modelers, computational chemists, medicinal chemists, crystallographers, biochemists, and biologists with experience working on all common target classes and therapeutic areas. The group is supported by more than 100 software developers and engineers, as well as a large-scale computer infrastructure.

Who will love this job:

•     A structure-based drug designer with deep training in molecular modelling, with an emphasis on the following areas: structural biology, computationally-driven lead optimization, virtual ligand screening, generative structure prediction, or cryptic pocket identification.
•     A scientist trained cross-functionally, with experience in both computational chemistry and experimental structural biology or experimental hit-finding environments
•     A team player who enjoys working in interdisciplinary environments and has excellent communication skills

What you’ll do:

•     Support active drug discovery projects as a computational chemist/modeler 
•     Contribute to new-target selection by integrating structural, computational, biophysical, and biological evidence into concise target-tractability assessments, identifying key uncertainties and proposing experiments or calculations that could resolve them.
•     Partner with cross-functional experts to develop strategies for promising targets, including approaches to investigate alternative conformations or potential transient binding sites.
•     Work closely with the internal software development teams to improve Schrödinger’s drug discovery technologies.
•     Share knowledge with the greater Schrödinger Therapeutic Group (STG)

What you should have:

•     PhD in Computational Chemistry, Structural Biology, or a related discipline
•     Experience in structure-based drug design and the ability to critically interpret protein structures in the context of ligand binding, drawing on modern computational and experimental approaches for structure prediction and cryptic pocket identification
•     Postdoctoral experience and/or at least one year of industry experience preferred