Remote Lead Bioinformatics Scientist - Genomics Pipelines

Placements24; Soweto; Hybrid; ZAR 2,030,000 - 3,046,000; Full time

Benefits offered by this job

Annual bonus

Stock options

Health insurance

Home office stipend

Paid time off

Cutting-edge infrastructure

Career advancement

Job summary

Placements24 is seeking a Lead Bioinformatics Scientist for a fully remote research team. This senior role drives innovation in analyzing large-scale biological data—genomics, transcriptomics, and proteomics—by developing and implementing advanced computational pipelines and leading key bioinformatics projects.

You will mentor analysts, collaborate with biologists, clinicians, and data scientists to translate complex datasets into actionable insights that accelerate drug discovery and improve

Qualifications

• PhD in bioinformatics or related field.
• 6+ years of bioinformatics experience.
• Experience leading projects and mentoring staff.
• Hands-on NGS data analysis: variant calling, RNA-seq, epigenomics.
• Programming in Python/R; familiarity with tools and databases.

Responsibilities

• Lead development of bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Analyze genomic, transcriptomic, and proteomic datasets for insights and biomarkers.
• Apply statistical and machine learning methods to biological data.
• Mentor junior bioinformaticians and data analysts.
• Collaborate with internal teams to design experiments and interpret results.
• Stay current with advancements in bioinformatics and genomics.

Skills

NGS analysis

Python

R language

Mentoring

Cloud computing

Genomics knowledge

Education

PhD in Bioinformatics

Tools

Docker

AWS

Job description

Placements24 is seeking a Lead Bioinformatics Scientist for a fully remote research team. This senior role drives innovation in analyzing large-scale biological data—genomics, transcriptomics, and proteomics—by developing and implementing advanced computational pipelines and leading key bioinformatics projects.

You will mentor analysts, collaborate with biologists, clinicians, and data scientists to translate complex datasets into actionable insights that accelerate drug discovery and improve