Senior Systems Biologist

Placements24; Vereeniging; On-site; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, and vision insurance

Professional growth opportunities

Access to state-of-the-art resources

Paid time off

Retirement savings plan

Job summary

Placements24 in Vereeniging seeks a Senior Systems Biologist to join our advanced research division. You will develop computational models, integrate multi-omics data, and validate predictions to inform therapeutic strategies.

The role requires a PhD and 6+ years in computational biology, with strong Python/R/MATLAB skills, ML and network analysis. You will collaborate with experimental teams and contribute to cutting-edge interdisciplinary projects.

Qualifications

• PhD in Systems Biology, Computational Biology, Bioinformatics, Biophysics, or related quantitative field.
• Minimum 6 years of experience developing and applying computational models to biological systems.
• Strong programming proficiency (Python, R, MATLAB) and modeling software experience.
• Deep knowledge of network analysis, statistical modeling, and machine learning techniques.

Responsibilities

• Develop and apply computational models to analyze large-scale omics datasets (genomics, transcriptomics, proteomics, metabolomics).
• Integrate diverse data types to build comprehensive cellular and organismal system models.
• Design and conduct computational experiments to test hypotheses and predict system behavior.
• Collaborate with experimental biologists to guide experimental design and interpretation.
• Develop and implement novel algorithms and software tools for systems biology research.
• Communicate complex findings and model insights to diverse scientific audiences.

Skills

Statistical modeling

Machine learning

Multi-omics integration

Independent working

Education

PhD in Systems Biology or related

Tools

Python

R

MATLAB

Job description

About the Role

Our client is seeking a highly analytical and innovative Senior Systems Biologist to join their advanced research division in Vereeniging . This role is central to understanding complex biological systems through the integration of multi-omics data, computational modeling, and experimental validation. You will be instrumental in uncovering emergent properties of cellular networks and predicting responses to various perturbations, thereby informing therapeutic strategies. This position offers a unique chance to work on interdisciplinary projects, contribute to fundamental biological discoveries, and develop predictive models for complex diseases.

Key Responsibilities

• Develop and apply computational models to analyze and interpret large-scale biological datasets (genomics, transcriptomics, proteomics, metabolomics).
• Integrate diverse data types to build comprehensive models of cellular and organismal systems.
• Design and conduct computational experiments to test hypotheses and predict system behavior.
• Collaborate with experimental biologists to guide experimental design and interpret results within the context of systems biology.
• Develop and implement novel algorithms and software tools for systems biology research.
• Effectively communicate complex findings and model insights to diverse scientific audiences.

Requirements

• Ph.D. in Systems Biology, Computational Biology, Bioinformatics, Biophysics, or a related quantitative field.
• Minimum of 6 years of experience in developing and applying computational models to biological systems.
• Strong proficiency in programming languages (e.g., Python, R, MATLAB) and experience with relevant modeling software.
• Deep understanding of network analysis, statistical modeling, and machine learning techniques.
• Experience integrating and analyzing multi-omics data.
• Excellent problem-solving skills and the ability to work independently and collaboratively on interdisciplinary projects.

Benefits

• A competitive salary and attractive bonus structure.
• Comprehensive health, dental, and vision insurance.
• Significant opportunities for professional growth, training, and conference participation.
• Access to state-of-the‑art computational resources and collaborative research environment in Vereeniging .
• Generous paid time off and retirement savings plan.
• The opportunity to contribute to groundbreaking research at the intersection of biology and computation.