Scientist, Computational Medicinal Chemistry

We are seeking a highly motivated, creative Computational Medicinal Chemist to support drug discovery programs. The successful candidate will operate at the interface of computational chemistry and medicinal chemistry, serving as an embedded, project-facing contributor within lead identification and lead optimisation (LI/LO) teams.

Requirements

• PhD in computational chemistry, chemistry, biophysics, or a related scientific discipline with a strong computational focus.
• 1-4 years of Postdoctoral training and/or relevant industry experience in pharmaceutical or biotech drug discovery.
• Demonstrated application of ligand- and structure-based design approaches in small-molecule drug discovery projects.
• Working knowledge of medicinal chemistry and preclinical drug design in the context of compound optimisation, including SAR development, ADME considerations, and multiparameter optimisation.
• Solid understanding of protein–ligand interactions and structure-based compound optimisation strategies, along with hands-on experience with multiple core computational techniques in ligand- and structure-based drug design.
• Hands-on experience with molecular visualisation and modelling software such as PyMOL and Schrödinger suite for structure analysis and drug design applications.
• Proficiency in Python and cheminformatics toolkits with practical application of these skills for scientific scripting, data analysis, workflow development, and management and analysis of large chemical datasets.
• Proficiency in statistical analysis and data visualisation tools (e.g. Jupyter notebooks, Spotfire).
• Familiarity with machine-learning approaches for small-molecule activity and ADME property prediction, and experience applying model outputs in a medicinal chemistry or project context.
• Experience working effectively within multidisciplinary project teams and communicating computational results to non-computational scientists.
• Strong scientific writing skills and track record of publications in peer-reviewed journals.
• Experience in targeted protein degradation is a plus.