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Genetics Researcher - Bioinformatics

Job in Centurion, 0014, South Africa
Listing for: Placements24
Full Time position
Listed on 2026-09-21
Job specializations:
  • Research/Development
    Data Scientist, Research Scientist, Genetics / Genomics
Job Description & How to Apply Below

About the Role

Our client is seeking a talented Genetics Researcher with a strong focus on Bioinformatics to join their forward-thinking R&D department in Centurion . This role is crucial for analyzing large-scale genomic datasets, identifying genetic variations, and understanding their role in health and disease. You will collaborate with experimental biologists and clinicians to translate genomic insights into actionable research findings. This position offers a chance to work with sophisticated computational tools and large datasets in a collaborative and innovative scientific setting.

Key Responsibilities
  • Analyze large-scale genomic and transcriptomic datasets using various bioinformatics tools and pipelines.
  • Develop and implement computational methods for variant calling, annotation, and association studies.
  • Integrate multi-omics data (genomics, transcriptomics, proteomics) to uncover biological insights.
  • Collaborate with experimental teams to design studies and interpret results related to genetic factors.
  • Visualize and communicate complex genetic findings to both technical and non-technical audiences.
Requirements
  • Ph.D. in Bioinformatics , Computational Biology, Genetics, or a related quantitative field.
  • Proven experience in analyzing next-generation sequencing (NGS) data (WGS, WES, RNA-Seq).
  • Proficiency in programming languages such as Python, R, and shell scripting.
  • Familiarity with population genetics, statistical genetics, and machine learning concepts.
  • Experience with common bioinformatics databases and public resources (e.g., Ensembl, NCBI).
Benefits
  • Competitive annual salary commensurate with experience.
  • Comprehensive health, wellness, and retirement benefits package.
  • Support for continued learning and professional development in bioinformatics.
  • Flexible hybrid work arrangement to balance work and personal life.
  • A dynamic research environment with opportunities for high-impact scientific contributions.
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