Join us in advancing cutting-edge science at the intersection of GPCR structural biology, computational chemistry, and data science. This role offers a unique opportunity to leverage proprietary GPCR structural data and contribute directly to industry-leading drug discovery R&D.
Requirements
- Master’s or PhD (or equivalent) in Computational Chemistry or a related discipline.
- Demonstrated, sustained impact applying CADD/SBDD in drug discovery programs (7+ years post-PhD, or equivalent experience).
- Strong SBDD expertise with a track record of using structural information to drive compound design—able to propose binding hypotheses, rationalize SAR with structure, and translate interactions into medicinal chemistry actions.
- Proven ability to collaborate effectively with Structural Biology/biophysics teams, interpret structural and biophysical outputs, and integrate them into iterative design plans and DMTA cycles.
- Hands-on expertise with core CADD workflows and tools (e.g., Schrödinger, Molecular Discovery, OpenEye or equivalents).
- Strong understanding of medicinal chemistry and SAR, including practical judgment around property tradeoffs, developability, and the realities of synthetic feasibility and design cycles.
- Ability to analyse and process compound/assay datasets and perform basic scripting/analysis (e.g. Python, RDKit).
- Excellent communication, collaboration, and matrix leadership skills—able to influence decisions, align cross-functional stakeholders, and move programs forward with clarity and accountability.