Remote Principal Computational Biologist | Genomics & ML

Placements24; Upington; Hybrid; ZAR 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Remote work environment

Health, dental, and vision insurance

Retirement plan with company matching

Home office stipend

Professional development support

Paid time off

Job summary

Placements24 seeks a Principal Computational Biologist to lead the development of advanced analytical methods for large-scale genomic datasets. You will guide a remote, international team of scientists and engineers, shaping project direction and delivering reproducible workflows.

You will mentor junior researchers, communicate complex results clearly, and contribute to grant writing while staying current with cutting-edge computational biology advances.

Qualifications

• PhD in a quantitative field (Computational Biology, Bioinformatics, CS or Statistics).
• 7+ years post-PhD experience in computational biology or bioinformatics.
• Strong programming (Python/R) and ML/statistical modeling skills.

Responsibilities

• Design, develop, and apply computational methods for large-scale biological datasets.
• Build and maintain scalable bioinformatics pipelines for data processing and QC.
• Collaborate with experimental biologists to interpret results and plan experiments.

Skills

Python

R

ML / Machine Learning

Statistical modeling

Leadership

Mentoring

Communication

Education

PhD in Computational Biology / Bioinformatics / CS / Statistics

Tools

Docker

Singularity

AWS / GCP / Azure

Biopython

SciPy

Pandas

BLAST

Ensembl

TCGA

Job description

Placements24 seeks a Principal Computational Biologist to lead the development of advanced analytical methods for large-scale genomic datasets. You will guide a remote, international team of scientists and engineers, shaping project direction and delivering reproducible workflows.

You will mentor junior researchers, communicate complex results clearly, and contribute to grant writing while staying current with cutting-edge computational biology advances.