Senior Bioinformatician (Remote) | Genomics & ML Pipelines

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

Benefits offered by this job

Competitive salary

Health coverage

Remote work flexibility

Conference / training support

Job summary

Placements24 is seeking a Senior Bioinformatician for a fully remote role within a leading biopharmaceutical research organization. You will analyze large-scale genomics datasets and develop computational pipelines, statistical analyses, and ML models to drive discovery in personalized medicine and drug development.

The ideal candidate holds a PhD or MSc in a quantitative field, with 6+ years in bioinformatics and strong Python/R/Bash skills.

Qualifications

• PhD or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or related quantitative field.
• Minimum of 6 years hands-on experience in bioinformatics with genomics data analysis.
• Proficiency in Python, R and Bash; strong programming and debugging skills.

Responsibilities

• Design, develop, and maintain robust bioinformatics pipelines for NGS data (WGS, WES, RNA-Seq).
• Perform advanced statistical analyses and develop predictive models for genomic data.
• Collaborate with biologists and geneticists to define questions and interpret findings.
• Implement ML algorithms for variant calling, biomarker discovery, and other genomic analyses.
• Develop visualization tools to communicate data and results to scientific audiences.
• Mentor junior bioinformaticians and manage large datasets with reproducibility in mind.

Skills

Python

R

Bash scripting

Genomics data analysis

Machine learning

Pipeline development

Remote collaboration

Education

PhD in Bioinformatics

Master's in a quantitative field

Tools

STAR

GATK

DESeq2

scikit-learn

Job description

Placements24 is seeking a Senior Bioinformatician for a fully remote role within a leading biopharmaceutical research organization. You will analyze large-scale genomics datasets and develop computational pipelines, statistical analyses, and ML models to drive discovery in personalized medicine and drug development.

The ideal candidate holds a PhD or MSc in a quantitative field, with 6+ years in bioinformatics and strong Python/R/Bash skills.