Remote Genomics Data Scientist | Bioinformatics & ML

Placements24; Gauteng; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible remote work arrangements

Access to cloud computing resources

Continuous learning opportunities

Job summary

Placements24 is seeking a highly skilled Computational Biologist to join a fully remote research team focused on advancing genomic research. You will analyze large-scale genomic datasets, identify significant patterns, and develop predictive models to drive discoveries.

Work with bioinformaticians, data scientists, and wet-lab researchers from anywhere, contributing to cutting-edge genomics projects. The role emphasizes remote collaboration, advanced computational tools, and ongoing professional

Qualifications

• Ph.D. or M.Sc. in a related quantitative field.
• Proficient in Python or R with bioinformatics libraries.
• Strong experience with NGS data analysis (WGS, WES, RNA-seq).

Responsibilities

• Develop and implement bioinformatics pipelines for analysis of NGS data.
• Perform statistical analysis of genomic and transcriptomic datasets.
• Design and build predictive models using machine learning.
• Collaborate with experimental biologists to design studies and interpret results.
• Maintain and manage large genomic databases and computational resources.

Skills

Python

R

NGS data analysis

statistical genetics

machine learning

remote collaboration

Education

Ph.D. in Computational Biology or related field

M.Sc. in Computational Biology or related field

Job description

Placements24 is seeking a highly skilled Computational Biologist to join a fully remote research team focused on advancing genomic research. You will analyze large-scale genomic datasets, identify significant patterns, and develop predictive models to drive discoveries.

Work with bioinformaticians, data scientists, and wet-lab researchers from anywhere, contributing to cutting-edge genomics projects. The role emphasizes remote collaboration, advanced computational tools, and ongoing professional