Senior Cheminformatics Scientist

Placements24; Noord-Kaap; Hybrid; ZAR 900.000 - 1.500.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Health and dental insurance

Professional development opportunities

Access to computational tools

Zusammenfassung

Placements24 invites applications for a Senior Cheminformatics Scientist in Kimberley, Northern Cape. The role focuses on applying computational methods to drug discovery, building pipelines, and managing large chemical datasets with RDKit and Open Babel.

The candidate will collaborate with medicinal chemists and biologists, applying ML techniques and data analytics to predict properties and accelerate candidate optimization in a hybrid research setting.

Qualifikationen

• Master's or Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, or related quantitative field.
• Minimum of 5 years of industry experience in cheminformatics, with a focus on drug discovery.
• Strong programming skills in Python, with experience in cheminformatics libraries (e.g., RDKit).
• Proficiency in data analysis, statistical methods, and machine learning techniques relevant to chemical data.
• Experience with chemical databases and data management principles.

Aufgaben

• Develop and apply cheminformatics methods for virtual screening, library design, and property prediction.
• Analyze large chemical datasets to identify SAR and SPR.
• Design, build, and maintain databases and workflows for chemical and experimental data.
• Collaborate with medicinal chemists, biologists, and computational chemists on drug discovery projects.
• Implement and utilize cheminformatics toolkits (e.g., RDKit, Open Babel) and visualization software.
• Stay current with advancements in cheminformatics and drug discovery.
• Present findings to project teams and stakeholders.
• Contribute to strategic development of cheminformatics capabilities.

Kenntnisse

Python programming

Data analysis

Machine learning

Ausbildung

Master's or Ph.D. in Cheminformatics/Computational Chemistry/CS

Tools

RDKit

Open Babel

Jobbeschreibung

About the Role

Our client, a leading pharmaceutical research organization, is seeking an experienced Senior Cheminformatics Scientist to join their drug discovery team in Kimberley, Northern Cape. This role is pivotal in leveraging computational approaches to analyze chemical and biological data, thereby accelerating the identification and optimization of novel drug candidates. You will develop and apply cheminformatics tools and methodologies to support medicinal chemistry efforts, predict compound properties, and manage large chemical datasets. The ideal candidate will have a strong background in computational chemistry, data science, and a deep understanding of drug discovery principles. Join our collaborative environment in Kimberley and contribute to the development of life-changing medicines.

Key Responsibilities

• Develop and apply cheminformatics methods for virtual screening, library design, and property prediction.
• Analyze large chemical and biological datasets to identify structure-activity relationships (SAR) and structure-property relationships (SPR).
• Design, build, and maintain databases and workflows for managing chemical and experimental data.
• Collaborate closely with medicinal chemists, biologists, and computational chemists to support drug discovery projects.
• Implement and utilize cheminformatics toolkits (e.g., RDKit, Open Babel) and visualization software.
• Stay current with the latest advancements in cheminformatics, computational chemistry, and drug discovery.
• Present findings and methodologies to project teams and stakeholders.
• Contribute to the strategic development of cheminformatics capabilities.

Requirements

• Master's or Ph.D. in Cheminformatics, Computational Chemistry, Computer Science, or a related quantitative field.
• Minimum of 5 years of industry experience in cheminformatics, with a focus on drug discovery.
• Strong programming skills in Python, with experience in cheminformatics libraries (e.g., RDKit).
• Proficiency in data analysis, statistical methods, and machine learning techniques relevant to chemical data.
• Experience with chemical databases and data management principles.
• Understanding of molecular modeling and structure-based drug design principles.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work effectively in a hybrid research setting in Kimberley, Northern Cape.

Benefits

• Competitive annual salary of ZAR.
• Hybrid work model promoting work-life balance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and training.
• Access to advanced computational tools and resources.
• A dynamic and collaborative team environment in Kimberley.
• Retirement savings plan and paid time off.