Senior Bioinformatician, Clinical Genomics - Hybrid&Impactful

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work arrangements

Health & retirement plans

Professional development

Job summary

Placements24 is seeking a seasoned Senior Bioinformatician to join its Clinical Genomics team in Sandton. You will analyze complex genomic data from clinical samples to support diagnostic development and personalized medicine, building robust pipelines and collaborating with geneticists, clinicians, and researchers. The ideal candidate has a Ph.D.

or M.S. in a quantitative field, 5+ years of bioinformatics experience in clinical genomics, and strong Python/R programming skills.

Qualifications

• Ph.D. or M.S. in Bioinformatics, Computational Biology, Genetics, or related field.
• 5+ years of professional bioinformatics experience, with clinical genomics focus.
• Expertise in analyzing NGS data (WES/WGS/RNA-Seq) and related tools/databases.
• Strong programming skills in Python or R; shell scripting and HPC experience.
• Solid understanding of human genetics, disease mechanisms, and variant interpretation.

Responsibilities

• Develop, implement, and optimize bioinformatics pipelines for WES and WGS data.
• Perform variant calling, annotation, and filtering for disease-associated variations.
• Collaborate with clinical geneticists/pathologists to interpret findings for diagnoses.
• Contribute to development/validation of diagnostic assays and tools.
• Manage and curate large genomic databases; ensure data integrity and accessibility.
• Present findings to internal teams and external collaborators in Sandton.

Skills

communication

teamwork

problem solving

Education

Ph.D. in Bioinformatics

M.S. in related field

Tools

Python

R

Shell scripting

HPC

Job description

Placements24 is seeking a seasoned Senior Bioinformatician to join its Clinical Genomics team in Sandton. You will analyze complex genomic data from clinical samples to support diagnostic development and personalized medicine, building robust pipelines and collaborating with geneticists, clinicians, and researchers. The ideal candidate has a Ph.D.

or M.S. in a quantitative field, 5+ years of bioinformatics experience in clinical genomics, and strong Python/R programming skills.