Computational chemistry and Python define this senior scientific role in Kimberley, where hybrid research supports pharmaceutical drug discovery. Predict compound properties using chemical data.
As a Senior Cheminformatics Scientist, you will apply computational approaches to chemical and biological datasets. The position requires data science, cheminformatics libraries, chemical databases, and molecular modeling knowledge. Your work supports medicinal chemistry efforts and the development of novel drug candidates.
Key Responsibilities:
- Predict compound properties using cheminformatics methodologies
- Design workflows for managing experimental and chemical data
- Implement RDKit, Open Babel, and visualization software
- Identify structure activity and structure property relationships
- Contribute to strategic cheminformatics capability development
Requirements:
- Master’s or Ph.D. in cheminformatics or computational chemistry
- Five years’ industry experience focused on drug discovery
- Python programming with cheminformatics library experience
- Experience with chemical databases and data management
- Understanding of structure-based drug design principles
Use Python, cheminformatics toolkits, and molecular modeling knowledge to support compound prediction and medicinal chemistry in Kimberley.