Senior Biologist - Genomics

About the Role

Our client is seeking a dedicated Senior Biologist with specialized expertise in Genomics to join their innovative research team in Klerksdorp. This role is crucial for advancing our understanding of genetic mechanisms and applying this knowledge to develop novel research tools and diagnostics. You will lead projects involving next-generation sequencing (NGS) data analysis, experimental design, and interpretation of genomic information. This is an exceptional opportunity to contribute to cutting-edge biological research and development within the North West province.

• Design and execute genomic studies, including sample preparation, sequencing library preparation, and data analysis.
• Analyze large-scale genomic datasets (e.g., whole-genome sequencing, RNA-Seq, ChIP-Seq) using bioinformatics tools and statistical methods.
• Develop and optimize protocols for various genomic applications and technologies.
• Interpret experimental results and provide biological insights to guide research strategy.
• Collaborate with computational biologists, clinicians, and other researchers to integrate genomic findings.
• Present research findings internally and contribute to publications and scientific presentations.

• Ph.D. in Genetics, Molecular Biology, Bioinformatics, or a related field.
• Minimum of 5 years of research experience with a focus on genomics and molecular biology.
• Proficiency in analyzing next-generation sequencing (NGS) data using standard bioinformatics pipelines and software.
• Hands-on experience with various molecular biology techniques relevant to genomics.
• Strong understanding of statistical analysis and data visualization techniques.
• Excellent communication and teamwork skills, essential for collaborative research in Klerksdorp.

• Competitive salary complemented by a comprehensive benefits package.
• Opportunities for professional growth, including training in new genomic technologies.
• Access to advanced sequencing platforms and high-performance computing resources.
• Supportive work environment that encourages scientific curiosity and innovation.
• Generous paid time off and flexible work arrangements where applicable.