Principal Bioinformatics Scientist - Lead Omics & ML Remote

Placements24; Durban; Hybrid; ZAR 1,500,000 - 2,800,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Professional development

Remote work flexibility

Advanced research tools

Job summary

Placements24 in Durban, KwaZulu-Natal, is seeking a Principal Bio-informatics Scientist to lead omics analyses and develop advanced computational pipelines. You will collaborate with biologists, chemists, and clinicians to translate data into actionable insights for drug discovery and personalized medicine.

The role requires a PhD and at least 6 years of progressive experience, with expertise in Python/R/Perl, ML, and databases.

Qualifications

• PhD in Bioinformatics, Computational Biology, or related field.
• Minimum 6 years in bioinformatics or computational biology with omics data.
• Proven ability to lead complex bioinformatics projects.
• Proficiency in Python, R, and Perl; experience with bioinformatics libraries.
• Database management (SQL/NoSQL) and HPC exposure.

Responsibilities

• Lead design and execution of bioinformatic analyses for omics datasets.
• Develop computational pipelines and algorithms for data interpretation.
• Build and maintain databases for biological data management.
• Apply statistical modeling and machine learning to identify patterns.
• Collaborate with scientists to define research questions and analyses.
• Interpret results and present findings clearly to diverse audiences.
• Contribute to bioinformatics tools and software development.
• Mentor junior bioinformaticians and guide research.
• Stay current with advances in bioinformatics and computational biology.

Skills

Python

R

Perl

Machine learning

Communication

Education

PhD in Bioinformatics

Tools

SQL

NoSQL

HPC

Job description

Placements24 in Durban, KwaZulu-Natal, is seeking a Principal Bio-informatics Scientist to lead omics analyses and develop advanced computational pipelines. You will collaborate with biologists, chemists, and clinicians to translate data into actionable insights for drug discovery and personalized medicine.

The role requires a PhD and at least 6 years of progressive experience, with expertise in Python/R/Perl, ML, and databases.