Lead Bioinformatician

Our client is seeking a talented and experienced Lead Bioinformatician to join their pioneering research team. This is a fully remote position, allowing you to contribute to groundbreaking biological research from anywhere in South Africa . You will be responsible for developing and implementing cutting-edge bioinformatics pipelines, analyzing large-scale genomic and transcriptomic datasets, and collaborating with biologists and clinicians to drive scientific discovery.

The ideal candidate possesses a strong foundation in bioinformatics, excellent programming skills, and a passion for translating complex biological data into actionable insights. This role offers the opportunity to lead innovative projects, mentor junior scientists, and make a significant impact in the rapidly evolving field of genomics and personalized medicine. Join a supportive and dynamic team dedicated to advancing health outcomes through data-driven research.

• Design, develop, and maintain robust bioinformatics pipelines for analyzing next-generation sequencing (NGS) data (e.g., WGS, WES, RNA-Seq).
• Perform in-depth analysis of large biological datasets, including genomic variation, gene expression, and epigenomic profiling.
• Collaborate closely with experimental biologists, geneticists, and clinicians to interpret data and generate hypotheses.
• Develop and implement statistical and machine learning models for biological data analysis.
• Create clear and concise visualizations and reports of findings for diverse audiences.
• Supervise and mentor junior bioinformaticians and research assistants.
• Contribute to grant writing and manuscript preparation.
• Stay abreast of the latest advancements in bioinformatics tools, algorithms, and biological discoveries.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of experience in bioinformatics research and data analysis.
• Expertise in programming languages such as Python and R, and experience with bioinformatics libraries.
• Proficiency in using command-line interfaces and high-performance computing environments.
• Strong understanding of statistical principles and machine learning algorithms.
• Experience with various NGS data types and analysis tools (e.g., BWA, GATK, DESeq2).
• Excellent communication and collaboration skills, especially in a remote setting.
• Ability to manage multiple projects and work independently.
• Must be legally authorized to work remotely in South Africa.

This fully remote role offers a highly competitive salary, comprehensive medical aid coverage, and a retirement fund. Our client supports continuous learning through access to online courses, virtual workshops, and opportunities to attend relevant scientific conferences remotely. Enjoy the flexibility and work-life balance that comes with a remote-first environment, while contributing to impactful research in bioinformatics and genomics from Klerksdorp or any other location in South Africa.