Lead Computational Biologist

Our client, a rapidly growing genomics and bioinformatics company, is seeking a talented Lead Computational Biologist to spearhead their research initiatives in Vereeniging . This pivotal role involves the development and application of advanced computational methods and algorithms to analyze large-scale biological datasets, including genomic, transcriptomic, and proteomic data. The ideal candidate will possess a strong background in bioinformatics, statistical analysis, and programming, combined with leadership experience.

This is an exceptional opportunity to make significant contributions to biological discovery and therapeutic development in a collaborative and innovative environment. You will guide a team of computational biologists, driving projects that unlock new insights from complex biological information, all based in Vereeniging .

• Lead the development and implementation of computational pipelines for the analysis of high-throughput biological data (e.g., next-generation sequencing, mass spectrometry).
• Design and execute statistical analyses to identify biological patterns, correlations, and biomarkers.
• Develop and apply machine learning algorithms for tasks such as classification, clustering, and prediction of biological outcomes.
• Collaborate with experimental biologists and clinicians to translate computational findings into biological insights and potential applications.
• Manage and mentor a team of computational biologists, overseeing project execution and ensuring scientific rigor.
• Optimize existing bioinformatics tools and workflows for efficiency, scalability, and accuracy.
• Stay abreast of the latest advancements in computational biology, genomics, and bioinformatics tools and methodologies.
• Contribute to scientific publications, presentations, and grant proposals.
• Ensure data integrity, security, and proper management of large biological datasets within the Vereeniging research infrastructure.

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 7 years of experience in computational biology or bioinformatics, with demonstrated project leadership.
• Strong proficiency in programming languages such as Python, R, and/or Perl, along with experience in scripting languages (e.g., Bash).
• Extensive experience with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser).
• Expertise in statistical analysis and machine learning techniques relevant to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments.
• Proven ability to manage complex projects and mentor junior team members.
• Excellent communication and collaboration skills, with the ability to effectively communicate complex technical results to diverse audiences.
• Strong problem-solving abilities and a proactive approach to research challenges in Vereeniging.

• Our client offers a highly competitive remuneration package, including a substantial annual salary and performance-based bonuses.
• Comprehensive health insurance (medical, dental, vision) is provided.
• We are committed to the professional development of our employees, offering training, conference attendance, and opportunities to learn new technologies.
• Generous paid time off, including annual leave, sick leave, and public holidays, is provided.
• The role is based in Vereeniging , offering access to advanced computational resources and a supportive team environment.
• Our client promotes a healthy work-life balance.
• Opportunities for career progression within the growing organization are excellent.
• A retirement savings plan is also available.