Senior Systems Biologist - Remote Network Modeling Lead

Placements24; Sandton; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Health coverage

Retirement plans

Generous paid time off

Job summary

Placements24 is seeking a Senior Systems Biologist to join a globally distributed, remote-first team. The role focuses on constructing and analyzing dynamic biological networks using large-scale omics data to understand cellular processes and disease mechanisms.

The ideal candidate will lead modeling efforts, integrate genomics, transcriptomics, proteomics, and metabolomics, and collaborate with clinicians and biologists to translate findings into experimental design and therapeutic insights.

Qualifications

• PhD in a quantitative field with strong systems biology experience.
• 6+ years post-doc or industry experience in systems biology and network modeling.
• Proficiency in Python or R and network analysis libraries.

Responsibilities

• Build and validate computational models of biological networks.
• Integrate multi-omics data to create dynamic models.
• Identify key regulatory nodes and predict system behavior under perturbations.
• Design computational experiments to test hypotheses and guide experiments.
• Collaborate with wet-lab scientists, bioinformaticians, and clinicians.
• Develop robust bioinformatics pipelines for data processing and network analysis.
• Communicate complex results via reports and publications.
• Mentor junior scientists and contribute to group strategy.
• Assist in grant writing and funding opportunities.

Skills

Python

R programming

Network analysis

Statistics

Machine learning

Omics data

Education

PhD in Systems Biology

Tools

NetworkX

igraph

Job description

Placements24 is seeking a Senior Systems Biologist to join a globally distributed, remote-first team. The role focuses on constructing and analyzing dynamic biological networks using large-scale omics data to understand cellular processes and disease mechanisms.

The ideal candidate will lead modeling efforts, integrate genomics, transcriptomics, proteomics, and metabolomics, and collaborate with clinicians and biologists to translate findings into experimental design and therapeutic insights.