Senior Principal Bioinformatics Scientist — Genomics & ML

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Job summary

Placements24 is seeking a Principal Bioinformatics Scientist in Mahikeng, North West, to lead transformative analyses of genomic and transcriptomic data. You will design computational strategies, guide projects across biologists and clinicians, and drive discovery of biomarkers and insights to support drug discovery.

The role requires a PhD, 8+ years of related experience, expert Python/R, ML, and cloud/big data skills, with a track record of leadership and publications.

Qualifications

• Ph.D. in bioinformatics, computational biology, computer science, statistics, or related quantitative field.
• 8+ years post-doctoral or industry experience in bioinformatics with genomic/transcriptomic data.
• Proficiency in Python and R and associated bioinformatics libraries.

Responsibilities

• Lead design and execution of bioinformatics analyses for high-throughput sequencing data (WGS, RNA-seq, ChIP-seq).
• Develop and implement robust computational pipelines for data processing, QC, and variant/gene expression analysis.
• Apply statistical methods and ML to identify significant findings and correlations.
• Integrate multi-omics data to provide comprehensive biological insights.
• Collaborate with biologists, clinicians, and researchers to define goals and interpret results.
• Develop custom scripts/tools to facilitate analysis and visualization.
• Mentor junior bioinformaticians and contribute to scientific leadership.
• Stay abreast of advancements in bioinformatics tools and methods.
• Communicate complex findings effectively to technical and non-technical audiences.

Skills

Python

R

ML

Biostats

Cloud

Genomics

Transcriptomics

Leadership

Mentoring

Communication

Education

Ph.D. in Bioinformatics/Computational Biology/Statistics/CS

Tools

Bioinformatics libraries

Job description

Placements24 is seeking a Principal Bioinformatics Scientist in Mahikeng, North West, to lead transformative analyses of genomic and transcriptomic data. You will design computational strategies, guide projects across biologists and clinicians, and drive discovery of biomarkers and insights to support drug discovery.

The role requires a PhD, 8+ years of related experience, expert Python/R, ML, and cloud/big data skills, with a track record of leadership and publications.