Remote Bioinformatics Data Scientist — Genomics & ML

Placements24; Gauteng; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Health, dental & vision insurance

Home office setup allowance

Flexible remote schedule

Professional development support

Collaborative online tools

Job summary

Placements24 is seeking a talented Data Scientist with a specialization in Bioinformatics for a fully remote research team. You will apply ML and statistical methods to genomic and clinical data, uncover patterns, and build predictive models to support innovation across projects.

The role emphasizes collaboration with researchers worldwide, data visualization, and development of scalable analytical platforms within a remote-friendly environment.

Qualifications

• Master's or Ph.D. in Bioinformatics, Data Science, CS or Statistics.
• Proficiency in Python or R with common libraries.
• Experience applying ML to biological data and genomics.

Responsibilities

• Develop statistical and ML models for biological datasets.
• Process and manage large genomic, proteomic, and clinical data.
• Design experiments to identify biomarkers and predict disease progression.
• Collaborate remotely with biologists to define analysis needs.
• Create visualizations and reports for technical and non-technical audiences.
• Contribute to scalable data pipelines and analytical platforms.

Skills

Data science

Machine learning

Genomic data analysis

Python

R

Biopython

Pandas

Scikit-learn

Education

Master's or Ph.D. in Bioinformatics

Data Science/CS/Statistics

Tools

BLAST

GATK

Ensembl

Job description

Placements24 is seeking a talented Data Scientist with a specialization in Bioinformatics for a fully remote research team. You will apply ML and statistical methods to genomic and clinical data, uncover patterns, and build predictive models to support innovation across projects.

The role emphasizes collaboration with researchers worldwide, data visualization, and development of scalable analytical platforms within a remote-friendly environment.