Senior Systems Biologist - Translational Research

Placements24; Pretoria; Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary package

Medical, dental, and vision insurance

Professional development opportunities

Job summary

Placements24 is seeking a Senior Systems Biologist in Pretoria to join a translational research team. You will develop computational models and integrate multi-omics, clinical and imaging data to uncover disease mechanisms and identify therapeutic targets.

The role requires a PhD with 6+ years in systems/computational biology, strong programming skills (Python/R/MATLAB), and ability to work independently within a multidisciplinary team.

Qualifications

• PhD required in quantitative bioscience.
• 6+ years post-doc or industry experience in systems biology or modeling.
• Proficiency in Python, R, or MATLAB; experience with biological databases.

Responsibilities

• Develop computational models to analyze multi-source biological data.
• Integrate omics and clinical data to identify disease mechanisms.
• Design computational experiments to simulate pathways and interventions.
• Collaborate with experimental biologists, clinicians and data scientists.
• Communicate findings through presentations, reports and publications.
• Stay updated on systems biology and computational modeling advancements.

Skills

Python

R

MATLAB

Network analysis

Data integration

Cross-disciplinary collaboration

Education

PhD in Systems Biology/Computational Biology/Bioinformatics

Tools

Bioinformatics tools

Job description

About the Role

Our client is looking for a distinguished Senior Systems Biologist to join their innovative translational research team in Pretoria . This role is integral to understanding complex biological systems and diseases by integrating diverse datasets, including omics data, clinical information, and imaging. You will leverage computational modeling and data analytics to uncover new biological insights and identify potential therapeutic targets. This position offers a unique opportunity to work at the intersection of biology, computation, and medicine, contributing to the development of next-generation diagnostics and treatments within a collaborative and research-intensive environment.

Key Responsibilities

• Develop and apply computational models and systems biology approaches to analyze complex biological data from multiple sources.
• Integrate and analyze large datasets, including genomics, proteomics, metabolomics, and clinical data, to elucidate disease mechanisms and identify therapeutic targets.
• Design and execute computational experiments to simulate biological pathways and predict the effects of interventions.
• Collaborate closely with experimental biologists, clinicians, and data scientists to design studies and interpret results.
• Communicate complex findings effectively through presentations, reports, and publications to both scientific and clinical audiences.
• Stay abreast of the latest advancements in systems biology, computational modeling, and relevant biological domains.

Requirements

• Ph.D. in Systems Biology, Computational Biology, Bioinformatics, or a related quantitative biological science field.
• Minimum of 6 years of post-doctoral or industry experience focused on systems biology or computational modeling of biological systems.
• Proficiency in programming languages such as Python, R, or MATLAB, and experience with relevant biological databases and software tools.
• Strong understanding of network analysis, pathway modeling, and statistical modeling techniques.
• Experience with handling and integrating diverse biological data types, including omics data.
• Excellent problem-solving skills and the ability to work independently and as part of a multidisciplinary team in Pretoria .

Benefits

• Competitive salary package with performance-based incentives.
• Comprehensive medical, dental, and vision insurance.
• Generous annual leave and paid public holidays.
• Support for professional development, including conference attendance and workshops.
• Access to advanced computational resources and collaborative research opportunities.