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
structure and ligand-based drug design
AI/ML
QSAR modeling
QM methods
protein structure prediction
Linux/Unix environment
Python scripting
Nice-to-have
drug discovery process knowledge
molecular simulation expertise
statistical analysis
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 virtual screening, free energy methods, active learning
Experience with molecular generators
Experience with small molecule design approaches
Experience with physicochemical property and ADMET optimization using ML models
Expertise in PROTACs, ADCs, Glues, Oligonucleotides
Expertise in covalent and non-covalent small molecules