Senior Bioinformatician - Remote Genomics Specialist

About the Role Our client is seeking a highly skilled and motivated Senior Bioinformatician to join their pioneering Scientific Research & Development team. This is a fully remote, impactful position focused on leveraging cutting-edge genomic data analysis techniques to drive groundbreaking discoveries. You will play a pivotal role in designing, implementing, and validating analytical pipelines for large-scale genomic datasets, contributing directly to our client's mission of advancing human health. This role offers the unique opportunity to work from anywhere within South Africa, collaborating with a dynamic and world-class team of scientists and researchers. Key Responsibilities Design, develop, and optimize robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data, including whole-genome, exome, and RNA-seq data. Perform comprehensive data analysis, interpretation, and visualization of complex genomic datasets to identify significant biological insights and potential therapeutic targets. Collaborate closely with experimental biologists, clinicians, and other researchers to define project requirements and deliver actionable results. Develop and maintain high-quality code and documentation for all analytical tools and workflows. Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology, and evaluate their potential application to our client's research programs. Contribute to the preparation of scientific publications and presentations. Provide technical guidance and mentorship to junior bioinformaticians and research staff. Ensure data integrity, quality control, and reproducible research practices throughout all stages of analysis. Requirements PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related quantitative field. Minimum of 5 years of experience in bioinformatics research and development, with a strong focus on genomic data analysis. Proficiency in programming languages such as Python, R, and/or Perl, with experience in scientific libraries. Extensive experience with NGS data analysis tools and platforms (e.g., GATK, STAR, Salmon, IGV). Solid understanding of statistical methods and machine learning techniques relevant to biological data. Experience with cloud computing environments (AWS, GCP, Azure) is highly desirable. Excellent problem-solving skills and the ability to work independently in a remote setting. Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences. Demonstrated track record of successful project completion and contributions to scientific literature. Benefits This fully remote role offers a competitive salary package, comprehensive health benefits, generous paid time off, and opportunities for professional development and conference attendance. You’ll be part of an innovative and supportive research environment that values collaboration and scientific excellence. Experience the flexibility of working from home while contributing to impactful scientific advancements. Our client provides all necessary equipment and support for a productive remote work experience, fostering a healthy work-life balance. #J-18808-Ljbffr