Bioinformatics Scientist - Genomics Analysis

Our client, a forward-thinking biotechnology company, is actively recruiting a Bioinformatics Scientist to join their innovative, fully remote R&D team. This role is essential for the analysis of large-scale genomic datasets, enabling the discovery of genetic variations, biomarkers, and therapeutic targets. You will collaborate virtually with a diverse team of biologists, computational scientists, and clinicians, applying cutting-edge computational and statistical methodologies to complex biological problems.

This is an exceptional opportunity for a skilled bioinformatician to make a significant impact on genomic research and drug discovery from a remote location, supported by a company culture that values collaboration, innovation, and work-life balance.

• Analyze and interpret high-throughput sequencing data (e.g., WGS, WES, RNA-Seq) to identify genetic variants and biological insights.
• Develop, implement, and refine bioinformatics pipelines for genomic data processing and analysis.
• Collaborate with experimental teams to design genomic studies and interpret findings in the context of biological questions.
• Utilize statistical and machine learning approaches to uncover patterns and predict outcomes from genomic data.
• Communicate complex bioinformatics results effectively to both technical and non-technical audiences through reports and presentations.
• Stay abreast of the latest advancements in genomics, bioinformatics tools, and computational methods.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Proven experience in analyzing large-scale genomic data, including variant calling, annotation, and association studies.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics tools and databases (e.g., GATK, ANNOVAR, Ensembl).
• Strong understanding of statistical genetics, population genetics, and machine learning concepts.
• Experience with cloud computing environments (AWS, GCP, Azure) and version control systems (Git) is preferred.

• Highly competitive salary and a comprehensive benefits package.
• Generous home office allowance and support for remote work infrastructure.
• Significant opportunities for professional growth, including access to virtual training and conferences.
• A flexible and dynamic remote-first work environment fostering innovation and autonomy.
• The chance to contribute to groundbreaking discoveries in genomics and personalized medicine from Mahikeng (remote work location).