Analyze large-scale genomic datasets as a Senior Bioinformatics Scientist in hybrid Kimberley, Northern Cape, ZA, using Python and R. Apply computational methods to biological research.
This senior-level scientist develops bioinformatics pipelines and computational tools for high-throughput sequencing data. The work spans genomics, transcriptomics, and proteomics, supporting drug discovery and diagnostic development. You will interpret biological datasets and clinical data for precision medicine research.
Key Responsibilities:
- Design pipelines for WGS, WES, and RNA-Seq analysis
- Develop computational tools and algorithms for biological data
- Identify drug targets, biomarkers, and therapeutic strategies
- Curate datasets and ensure data integrity and accessibility
- Mentor junior bioinformaticians and support cross-functional projects
Requirements:
- Ph.D. in bioinformatics, computational biology, or related quantitative field
- At least five years of bioinformatics research experience
- Proficiency in Python, R, and shell scripting
- Experience with BLAST, GATK, Ensembl, and UCSC Genome Browser
- Genomics, transcriptomics, or proteomics analysis experience
Bring advanced bioinformatics, programming, and genomic analysis expertise to precision medicine research in Kimberley’s hybrid scientific workplace.