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.