Computational Biologist: Bioinformatics & Genomics

Placements24; Centurion; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Stock options

Health benefits

Remote work policy

High-performance computing access

Job summary

Placements24 is seeking a Computational Biologist to join a forward-thinking team in Centurion. You will develop and optimize pipelines for large omics datasets, perform statistical analyses, and collaborate with experimental biologists to drive hypotheses and insights.

The role emphasizes data visualization, database maintenance, and keeping pace with new computational biology techniques in a dynamic research environment.

Qualifications

• PhD or MSc in a relevant quantitative field.
• Experience analyzing high-throughput biological data (genomics, transcriptomics, proteomics).
• Proficiency in Python or R and bioinformatics libraries.
• Strong grasp of statistical modeling and machine learning techniques.
• Excellent communication to both technical and non-technical audiences.

Responsibilities

• Develop, implement, and optimize pipelines for large biological datasets (e.g., NGS).
• Perform statistical analysis to identify patterns and insights.
• Collaborate with experimental biologists to design studies and generate hypotheses.
• Visualize complex data for actionable interpretation.
• Maintain databases and computational infrastructure.
• Keep up-to-date with computational biology advances.

Skills

Python

R

Statistical modeling

Machine learning

Data analysis

Education

PhD or MSc in Computational Biology or related quantitative field

Tools

Bioconductor

SciPy

NumPy

Job description

Placements24 is seeking a Computational Biologist to join a forward-thinking team in Centurion. You will develop and optimize pipelines for large omics datasets, perform statistical analyses, and collaborate with experimental biologists to drive hypotheses and insights.

The role emphasizes data visualization, database maintenance, and keeping pace with new computational biology techniques in a dynamic research environment.