Senior Systems Biologist

Placements24; Mbombela (Nelspruit); Vor Ort; ZAR 1.200.000 - 2.400.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Medical & dental

Retirement fund

Professional development

Computational resources

Zusammenfassung

Placements24 is seeking a highly analytical Senior Systems Biologist for our client’s research team in Nelspruit. The role focuses on integrating experimental data with computational modeling to understand cellular processes, metabolic pathways, and gene regulatory networks.

You will develop multi-scale models, analyze large datasets, and collaborate with experimental biologists. A PhD with 7+ years in quantitative biology is expected, with strong programming skills and on-site commitment in

Qualifikationen

• Ph.D. in Systems Biology, Computational Biology, Biophysics, Biochemistry or related quantitative field.
• Minimum of 7 years of experience in systems biology research, focusing on modeling complex networks.
• Proficiency in quantitative analysis, mathematical modeling and computational approaches.
• Programming in Python, R, or MATLAB for data analysis and simulation.

Aufgaben

• Develop and implement computational models of biological systems (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 experiments and refine models accordingly.
• Utilize statistical and machine learning methods for data analysis and model building.
• Present findings to scientific and non-scientific audiences.
• Contribute to the strategic direction of systems biology research within the company.
• Mentor junior researchers and foster a collaborative environment.

Kenntnisse

Quantitative analysis

Mathematical modeling

Computational biology

Communication skills

Ausbildung

Ph.D. in Systems Biology

Tools

Python

R

MATLAB

Modeling software

Jobbeschreibung

About the Role

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.

Key Responsibilities

• 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.

Requirements

• 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 .

Benefits

• 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.