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Lead Computational Biologist - Drug Discovery Platforms

Job in Polokwane, Limpopo, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-10-09
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist
Job Description & How to Apply Below
About the Role

Our client is seeking a talented and experienced Lead Computational Biologist to join their innovative drug discovery platform team in Polokwane. This role is crucial for developing and applying cutting-edge computational methodologies to analyze large-scale biological datasets, including genomics, proteomics, and transcriptomics. You will play a key role in identifying novel drug targets, understanding disease mechanisms, and guiding preclinical development efforts.

The ideal candidate will possess a strong quantitative background and a proven ability to translate complex biological data into actionable insights within a collaborative research setting.

Key Responsibilities
  • Lead the development and implementation of computational biology strategies and pipelines for analyzing diverse biological datasets.
  • Apply advanced statistical and machine learning techniques to identify potential drug targets and biomarkers.
  • Integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to gain a holistic understanding of disease biology.
  • Collaborate closely with experimental biologists, medicinal chemists, and pharmacologists to support drug discovery programs.
  • Develop predictive models for drug efficacy and toxicity based on biological and preclinical data.
  • Mentor junior computational biologists and contribute to the scientific direction of the discovery team.
Requirements
  • Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
  • Minimum of 7 years of experience in computational biology, with a significant portion focused on drug discovery or related pharmaceutical research.
  • Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics tools and databases.
  • Strong expertise in statistical modeling, machine learning, and data visualization techniques.
  • Experience with handling and analyzing large-scale biological datasets, including next-generation sequencing (NGS) data.
  • Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment in Polokwane.
Benefits
  • Competitive annual salary and performance-based bonus opportunities.
  • Comprehensive health, dental, and vision insurance coverage.
  • Generous paid time off and company-sponsored retirement plan.
  • Support for ongoing professional development, including attending scientific conferences and workshops.
  • Opportunity to work with a leading organization at the forefront of pharmaceutical innovation.
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