Senior Systems Biologist

Our client, a forward-thinking biotechnology firm, is looking for a highly analytical and innovative Senior Systems Biologist to join their dynamic research team in Nelspruit
. This role is central to understanding complex biological systems through the integration of experimental data and computational modeling. The successful candidate will develop and apply multi-scale models to explore cellular processes, metabolic pathways, and gene regulatory networks. This position requires a strong foundation in quantitative biology and a passion for unraveling biological complexity. The role is based in Nelspruit, Mpumalanga, ZA
, and necessitates a full-time, on-site presence within their advanced research laboratories. We are seeking a dedicated scientist committed to advancing our understanding of biological systems.

• Develop and implement computational models of biological systems (e.g., metabolic networks, signaling pathways, gene regulation).
• Integrate diverse experimental data types (genomics, proteomics, metabolomics) into systems biology frameworks.
• Analyze large biological datasets to identify key mechanisms and predict system behavior.
• Collaborate with experimental biologists to design hypothesis-driven experiments.
• Validate model predictions through experimental results and refine models accordingly.
• Utilize statistical and machine learning approaches for data analysis and model building.
• Present research findings to both scientific and non-scientific audiences.
• Contribute to the strategic direction of systems biology research within the company.
• Mentor junior researchers and contribute to a collaborative research environment.

• Ph.D. in Systems Biology, Computational Biology, Biophysics, Biochemistry, or a related quantitative field.
• Minimum of 7 years of experience in systems biology research, with a focus on modeling complex biological networks.
• Strong background in quantitative analysis, mathematical modeling, and computational approaches.
• Proficiency in programming languages such as Python, R, or MATLAB for data analysis and simulation.
• Experience with relevant modeling software and biological databases.
• Familiarity with high-throughput biological data types and analysis methods.
• Excellent analytical and problem-solving abilities.
• Strong communication and interpersonal skills, with the ability to work effectively in a multidisciplinary team.
• Must be eligible to work in South Africa .

• A competitive annual salary of R .
• Comprehensive medical and dental coverage.
• Generous contribution to a retirement fund.
• Opportunities for professional development, workshops, and conferences.
• Access to state-of-the-art computational resources and laboratory facilities in Nelspruit .
• A collaborative and intellectually stimulating work environment.
• Annual performance-based bonus.