Remote Lead Computational Biologist: Genomics & ML

Placements24; Centurion; Hybrid; ZAR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Competitive base salary

Performance bonuses

Equity options

Health, dental, and vision insurance

Professional development budget

Fully remote role

Job summary

Placements24 is seeking a Lead Computational Biologist to spearhead data analysis for genomic and transcriptomic projects in a fully remote capacity. You will drive sophisticated computational strategies, build pipelines for NGS data, and guide a team of analysts toward impactful discoveries and biomarkers.

You will collaborate with scientists and clinicians to translate hypotheses into computational analyses, mentor researchers, and contribute to publications while ensuring reproducible,

Qualifications

• PhD in Computational Biology, Bioinformatics, CS, or a quantitative field.
• 7+ years of progressive computational biology experience.
• Experience leading research projects and managing a team.
• Expertise with genomic and transcriptomic data and bioinformatics tools.

Responsibilities

• Lead development and execution of pipelines for NGS data (WGS, WES, RNA-seq).
• Design and implement statistical and ML models for genetic insights.
• Collaborate with biologists and clinicians to translate hypotheses.
• Develop software tools to support research and data processing.
• Mentor a team of computational biologists and bioinformaticians.
• Oversee integration of genomic, proteomic and clinical datasets.
• Ensure reproducible and scalable computational workflows.
• Communicate results to technical and non-technical audiences.
• Contribute to grant writing and manuscript preparation.

Skills

Leadership

Bioinformatics

NGS data analysis

Machine learning

Cloud/HPC

Communication

Education

PhD in Computational Biology/Bioinformatics

Tools

Python

R

Perl

Shell scripting

AWS/GCP

HPC

Job description

Placements24 is seeking a Lead Computational Biologist to spearhead data analysis for genomic and transcriptomic projects in a fully remote capacity. You will drive sophisticated computational strategies, build pipelines for NGS data, and guide a team of analysts toward impactful discoveries and biomarkers.

You will collaborate with scientists and clinicians to translate hypotheses into computational analyses, mentor researchers, and contribute to publications while ensuring reproducible,