Lead Computational Biologist — Remote with Equity

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

Benefits offered by this job

Equity options

Fully remote

Medical coverage

Job summary

Placements24 is seeking a Lead Computational Biologist to head scalable bioinformatics pipelines for large-scale genomic datasets. The role is fully remote from anywhere in South Africa, reporting to a distributed team of scientists and engineers. You will design, optimize, and maintain robust workflows for population genetics, clinical genomics, and functional genomics.

The ideal candidate holds a Ph.D. or Master’s in a related field with at least 6 years of experience in pipeline development,

Qualifications

• Ph.D. or Master’s in Computational Biology or related field.

Responsibilities

• Lead design and maintenance of scalable bioinformatics pipelines for large genomic datasets (WGS, WES, RNA-Seq, ChIP-Seq).
• Develop workflows for variant calling, genotyping, transcriptome analysis.
• Ensure reliability, reproducibility, and efficiency of pipelines.
• Collaborate with data scientists and researchers to define analytical requirements.
• Evaluate and integrate new bioinformatics tools into workflows.
• Mentor junior computational biologists and bioinformaticians.
• Contribute to proposals and publications leveraging the pipelines.
• Ensure data security and regulatory compliance.

Skills

Python

R

Perl

Shell scripting

HPC

Cloud computing

Docker

Singularity

Education

Ph.D. or Master’s in Computational Biology / Bioinformatics / CS / Statistics

Tools

GATK

BWA

Samtools

PLINK

VCFtools

Docker

Singularity

Job description

Placements24 is seeking a Lead Computational Biologist to head scalable bioinformatics pipelines for large-scale genomic datasets. The role is fully remote from anywhere in South Africa, reporting to a distributed team of scientists and engineers. You will design, optimize, and maintain robust workflows for population genetics, clinical genomics, and functional genomics.

The ideal candidate holds a Ph.D. or Master’s in a related field with at least 6 years of experience in pipeline development,