We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses
Job Summary
We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses.
The successful applicant will collaborate with preclinical research and development business partners to impact the pipeline from target identification, modality selection, and molecule design to ultimately identify clinical candidate therapeutics.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together.
Matching Summary
We aim to efficiently accelerate the discovery and development of transformational medicines through the integration of advanced computational methods, predictive in silico models, and expert analyses.
Skills & Requirements
Must-have
Computational Chemistry
AI/ML
QSAR modeling
QM methods
Protein structure prediction
Virtual screening
Python scripting
Nice-to-have
Drug discovery process knowledge
Molecular simulation expertise
Scientific literature appraisal
Interpersonal skills
Key Requirements
PhD in Computational Chemistry, Cheminformatics, Physics, Biophysics, Chemistry or related field
Scientific contributions documented with publications and/or presentations
Experience in one or more of the following: virtual screening, free energy methods, active learning, application of molecular generators, structure-based and ligand-based approaches for small molecule design, physicochemical property and ADMET optimization using ML models
Experience in various modalities such as PROTACs, ADCs, Glues, Oligonucleotides, and covalent and non-covalent small molecules
Expertise working in a Linux/Unix environment
Experience writing code in one or more scripting languages (e.g., Python)