Bioinformatics Specialist

Our client, a leading biotechnology firm, is seeking a highly skilled Bioinformatics Specialist to join their dynamic research team.

This role offers a hybrid work model, combining the flexibility of remote work with the collaborative benefits of in-office engagement at our Durban, Kwa Zulu-Natal, ZA facility. You will play a crucial role in analyzing complex biological datasets, developing computational tools, and driving discoveries in genomics, proteomics, and systems biology. The ideal candidate will possess a strong background in computational biology, excellent programming skills, and a passion for contributing to life-saving research.

This position requires a proactive individual who can contribute to a fast-paced, innovative research environment. We are looking for someone who can bridge the gap between wet-lab experiments and computational analysis, leading to significant advancements in our understanding of biological systems.

• Develop and implement computational pipelines for analyzing high-throughput biological data, including next-generation sequencing (NGS) data.
• Perform statistical analysis and interpretation of large-scale omics datasets (genomics, transcriptomics, proteomics).
• Design and build databases for storing and managing biological information.
• Develop custom scripts and software tools to support research workflows.
• Collaborate with biologists, geneticists, and other researchers to design experiments and interpret results.
• Visualize complex biological data to effectively communicate findings to diverse audiences.
• Stay up-to-date with the latest bioinformatics tools, algorithms, and best practices.
• Contribute to scientific publications and presentations.

• Master's or Ph.D. degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing genomic, transcriptomic, or proteomic data.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries.
• Solid understanding of statistical methods and their application in biological data analysis.
• Experience with standard bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
• Familiarity with command-line interfaces and Unix/Linux environments.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, comfortable working in a hybrid environment.
• Experience with cloud computing platforms (e.g., AWS, Azure) is a plus.

Our client offers a competitive salary and benefits package, including medical aid, provident fund, and performance-based incentives. We provide opportunities for professional development, including conference attendance and advanced training. The hybrid work model offers flexibility and work-life balance. Join a collaborative and innovative team in Durban, Kwa Zulu-Natal, ZA
, and contribute to impactful scientific research.