Genetics Researcher - Bioinformatics

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

Benefits offered by this job

Competitive salary

Health & retirement benefits

Professional development

Flexible hybrid work

Job summary

Placements24 is seeking a Genetics Researcher with a Bioinformatics focus to join our R&D team in Centurion. You will analyze large-scale genomic datasets, develop methods for variant calling and multi-omics integration, and translate findings into actionable insights for health research.

You will collaborate with experimental biologists and clinicians, apply advanced computational tools, and communicate complex results to diverse audiences in a dynamic, hybrid work environment.

Qualifications

• PhD in Bioinformatics or closely related quantitative field.
• Experience analyzing next-generation sequencing data (WGS, WES, RNA-Seq).
• Proficiency in Python, R, and shell scripting; familiarity with population genetics and ML concepts.

Responsibilities

• Analyze large-scale genomic and transcriptomic datasets using bioinformatics pipelines.
• Develop methods for variant calling, annotation, and association studies.
• Integrate multi-omics data to uncover biological insights.
• Collaborate with experimental teams to design studies and interpret results.
• Visualize and communicate genetic findings to technical and non-technical audiences.

Skills

Python

R

Shell scripting

Education

PhD in Bioinformatics

PhD in Computational Biology

PhD in Genetics

Tools

Ensembl

NCBI

Job description

About the Role

Our client is seeking a talented Genetics Researcher with a strong focus on Bioinformatics to join their forward-thinking R&D department in Centurion . This role is crucial for analyzing large-scale genomic datasets, identifying genetic variations, and understanding their role in health and disease. You will collaborate with experimental biologists and clinicians to translate genomic insights into actionable research findings. This position offers a chance to work with sophisticated computational tools and large datasets in a collaborative and innovative scientific setting.

Key Responsibilities

• Analyze large-scale genomic and transcriptomic datasets using various bioinformatics tools and pipelines.
• Develop and implement computational methods for variant calling, annotation, and association studies.
• Integrate multi-omics data (genomics, transcriptomics, proteomics) to uncover biological insights.
• Collaborate with experimental teams to design studies and interpret results related to genetic factors.
• Visualize and communicate complex genetic findings to both technical and non-technical audiences.

Requirements

• Ph.D. in Bioinformatics , Computational Biology, Genetics, or a related quantitative field.
• Proven experience in analyzing next-generation sequencing (NGS) data (WGS, WES, RNA-Seq).
• Proficiency in programming languages such as Python, R, and shell scripting.
• Familiarity with population genetics, statistical genetics, and machine learning concepts.
• Experience with common bioinformatics databases and public resources (e.g., Ensembl, NCBI).

Benefits

• Competitive annual salary commensurate with experience.
• Comprehensive health, wellness, and retirement benefits package.
• Support for continued learning and professional development in bioinformatics.
• Flexible hybrid work arrangement to balance work and personal life.
• A dynamic research environment with opportunities for high-impact scientific contributions.