Bioinformatician - Translational Research

About the Role

Our client is seeking a skilled Bioinformatician to contribute to their exciting Translational Research initiatives in Soweto. This hybrid role blends remote analytical work with essential on-site collaboration, providing a balanced and productive work environment. You will be instrumental in bridging the gap between basic research findings and clinical applications, analyzing complex biological datasets to uncover insights that can lead to new diagnostic tools and therapies.

This is a unique opportunity to work at the forefront of medical research, making a tangible difference in patient care. The ideal candidate will possess strong computational skills and a deep understanding of biological data.

• Analyze large-scale omics data (genomics, transcriptomics, proteomics) to identify biomarkers and therapeutic targets.
• Develop and maintain bioinformatics pipelines for data processing, quality control, and analysis.
• Collaborate with bench scientists and clinicians to interpret results and guide experimental design.
• Implement statistical methods and machine learning algorithms for data analysis.
• Communicate complex findings clearly to diverse audiences through reports and presentations.
• Contribute to the development of research protocols and scientific publications.

• Master's or Ph.D. in Bioinformatics, Computational Biology, Statistics, or a related quantitative field.
• Proven experience in analyzing biological datasets using computational and statistical methods.
• Proficiency in programming languages such as Python or R and associated bioinformatics libraries.
• Familiarity with common bioinformatics tools and databases.
• Understanding of human genetics and molecular biology principles.
• Strong problem-solving abilities and excellent communication skills.

• Competitive salary and comprehensive benefits package.
• Hybrid work arrangement offering flexibility and in-person collaboration.
• Opportunities for professional development and continued learning.
• Access to advanced computing resources and research infrastructure.
• A stimulating and collaborative research environment focused on impactful translational studies.
• Contribution to research aimed at improving patient health outcomes.