Senior Computational Biologist - Drug Design & Discovery

Placements24; Noord-Kaap; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Professional growth

HPC access

Collaborative research environment

Job summary

Senior Computational Biologist role in Kimberley aims to apply computational approaches to identify and optimize novel drug candidates by analyzing large biological datasets and predicting molecular interactions.

Collaborate with medicinal chemists, structural biologists, and pharmacologists to accelerate drug discovery, leveraging machine learning, molecular modeling, docking, QSAR, and high-performance computing within a research-driven Kimberley hub.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Cheminformatics, or related field.
• At least 6 years in computational biology with drug discovery focus.
• Proficiency in Python or Perl; experience with cheminformatics/bioinformatics software.
• Strong knowledge of molecular modeling, docking, QSAR, and statistical modeling.
• Experience handling large biological datasets and databases.

Responsibilities

• Develop and apply computational methods for large-scale biological data analysis.
• Use molecular modeling and simulation to predict drug-target interactions.
• Collaborate with medicinal chemists to guide design of candidates.
• Implement machine learning for predictive modeling in drug discovery.
• Design virtual screening campaigns and analyze results.
• Communicate findings to multidisciplinary teams.

Skills

Python

Perl

Molecular modeling

Docking

QSAR analysis

Machine learning

Large datasets

Education

Ph.D. in Computational Biology, Bioinformatics, Cheminformatics, or related quantitative field

Job description

Senior Computational Biologist role in Kimberley aims to apply computational approaches to identify and optimize novel drug candidates by analyzing large biological datasets and predicting molecular interactions.

Collaborate with medicinal chemists, structural biologists, and pharmacologists to accelerate drug discovery, leveraging machine learning, molecular modeling, docking, QSAR, and high-performance computing within a research-driven Kimberley hub.