Senior Systems Biologist

Placements24; Soweto; On-site; ZAR 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Professional development andconference

Conference attendance opportunities

Job summary

Placements24 is recruiting a Senior Systems Biologist for a renowned research institute in Soweto, Gauteng. You will apply quantitative approaches, build predictive models by integrating genomics, proteomics and metabolomics data, and drive understanding of cellular function and disease mechanisms.

Collaborating with experimentalists, clinicians and bioinformaticians, you will design in silico experiments, mentor researchers, and contribute to the development of new computational tools in a

Qualifications

• PhD in Systems Biology, Computational Biology, or related quantitative field.
• 4–6 years of post-doctoral or equivalent research experience in systems biology or computational biology.
• Strong expertise in computational modeling, network analysis and statistics.
• Proficiency in Python or R and experience with biological databases and software.
• Experience integrating diverse biological datasets (e.g., sequencing data).
• Solid understanding of molecular biology and key biological pathways.
• Analytical, problem-solving and communication skills.
• Ability to work in a multidisciplinary research team.

Responsibilities

• Develop and apply computational models and algorithms to analyze complex biological datasets.
• Integrate multi-omics data to build systems-level understanding.
• Design and conduct in silico experiments to test hypotheses.
• Collaborate with experimentalists to design studies generating relevant data.
• Interpret model outputs to derive meaningful biological insights.
• Contribute to development of novel computational tools and methodologies.
• Communicate findings through presentations and publications.
• Mentor junior researchers and foster collaborative environment.
• Stay abreast of advancements in systems biology and bioinformatics.

Skills

Python

R

Computational modeling

Network analysis

Statistics

Education

PhD in Systems Biology or related field

Job description

About the Role

Our client, a renowned research institute dedicated to unraveling complex biological systems, is seeking a talented Senior Systems Biologist to join their innovative team in Soweto . This role involves the application of quantitative approaches, computational modeling, and high-throughput data analysis to understand biological processes at a system-wide level. You will integrate diverse data types (e.g., genomics, proteomics, metabolomics) to build predictive models of cellular function, disease mechanisms, and drug responses. The ideal candidate will possess a strong quantitative background, expertise in computational biology and bioinformatics, and a deep understanding of biological networks. You will collaborate with experimental biologists, clinicians, and bioinformaticians to drive research projects forward and contribute to significant scientific discoveries. This is an excellent opportunity to shape the future of biological research in Gauteng .

Key Responsibilities

• Develop and apply computational models and algorithms to analyze complex biological datasets.
• Integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to build comprehensive systems-level understanding.
• Design and conduct in silico experiments to test hypotheses and predict biological outcomes.
• Collaborate with experimentalists to design studies that generate relevant data for systems biology approaches.
• Interpret model outputs and experimental results to derive biologically meaningful insights.
• Contribute to the development of novel computational tools and methodologies for systems biology research.
• Communicate research findings effectively through presentations and publications in peer-reviewed journals.
• Mentor junior researchers and contribute to a collaborative research environment.
• Stay abreast of advancements in systems biology, computational biology, and relevant biological fields.

Requirements

• A Ph.D. in Systems Biology, Computational Biology, Bioinformatics, Physics, Mathematics, or a related quantitative field.
• A minimum of 4-6 years of post-doctoral or equivalent research experience in systems biology or computational biology.
• Strong expertise in computational modeling, network analysis, and statistical methods.
• Proficiency in programming languages such as Python or R, and experience with relevant biological databases and software.
• Experience integrating and analyzing diverse biological datasets (e.g., next-generation sequencing data).
• A solid understanding of molecular biology and key biological pathways.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex models to diverse audiences.
• Ability to work effectively in a multidisciplinary research team.

Benefits

Our client offers a competitive salary, comprehensive benefits package including medical aid, retirement fund, and opportunities for continued professional development and conference attendance. You will be part of a vibrant and collaborative research community in Soweto , contributing to cutting-edge biological research. This role offers a unique opportunity to make a significant impact on understanding complex diseases and developing innovative therapies within Gauteng .