Senior Computational Biologist: Genomics & Omics Data Lead

Placements24; Gqeberha; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Career growth

HPC access

Collaborative team

Work-life balance

Job summary

Placements24 is seeking a Senior Computational Biologist to join the Port Elizabeth research team. The role focuses on analyzing large-scale omics data and building computational tools to reveal biological insights that can guide therapeutic strategies.

The candidate will collaborate with experimental scientists, implement robust pipelines, and contribute to the strategic direction of computational efforts in Port Elizabeth.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or related quantitative field.
• Minimum 7 years applying computational methods to biological problems.
• Strong proficiency in Python, R, or Perl with relevant scientific libraries.
• Solid understanding of molecular biology, genetics, and systems biology concepts.
• Experience with Unix/Linux environments, scripting, and version control systems (Git).
• Excellent problem-solving skills and ability to communicate complex findings to diverse audiences.

Responsibilities

• Develop and implement computational biology algorithms and pipelines for high-throughput data.
• Perform statistical analysis, data mining, and machine learning on omics datasets (RNA-Seq, ChIP-Seq, single-cell).
• Collaborate with experimental scientists to design studies, interpret results, and generate hypotheses.
• Curate, manage, and visualize large biological datasets to facilitate data exploration and discovery.
• Develop and maintain robust code and documentation for reproducibility and scalability.
• Contribute to the strategic direction of computational efforts within the research group in Port Elizabeth.

Skills

Python

R

Perl

Education

Ph.D. in Computational Biology

Tools

Unix/Linux

Git

Job description

Placements24 is seeking a Senior Computational Biologist to join the Port Elizabeth research team. The role focuses on analyzing large-scale omics data and building computational tools to reveal biological insights that can guide therapeutic strategies.

The candidate will collaborate with experimental scientists, implement robust pipelines, and contribute to the strategic direction of computational efforts in Port Elizabeth.