Senior Systems Biologist: Translational Modeling & Omics

Placements24

Pretoria

Hybrid

ZAR 1,500,000 - 2,100,000

Full time

13 days ago

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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

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.

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