Senior Computational Biologist - Genomics

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

Benefits offered by this job

Bonuses

Health insurance

PTO

Hybrid work

HPC access

Job summary

Placements24 in Stellenbosch is seeking a Senior Computational Biologist to join a hybrid genomics research team. You will analyze large-scale genomic data, develop pipelines, and collaborate with lab scientists to advance biological hypotheses.

The role emphasizes quantitative methods, genome interpretation, and workflow automation, with access to HPC and advanced sequencing technologies in a dynamic research environment.

Qualifications

• PhD in Computational Biology or related quantitative field.
• 5+ years of experience analyzing large-scale genomic datasets.
• Strong programming in Python or R, with scripting (Bash).
• Expertise with genomics-focused bioinformatics tools and databases.
• Ability to collaborate in a hybrid team and communicate complex concepts.

Responsibilities

• Analyze large-scale genomic, transcriptomic, and epigenomic datasets using advanced computational and statistical methods.
• Develop and maintain robust bioinformatics pipelines for sequence alignment, variant calling, and differential gene expression analysis.
• Collaborate with experimental biologists to design studies and interpret results in the context of hypotheses.
• Implement and adapt cutting-edge algorithms and machine learning approaches for genomic data analysis.
• Curate and manage genomic databases, ensuring data quality and accessibility.
• Prepare technical reports, visualizations, and presentations for meetings and publications.

Skills

Genomics analysis

Bioinformatics

Machine learning

Collaboration

Education

PhD in Computational Biology

Tools

Python

R

Bash

Bioinformatics tools

Job description

About the Role

Our client is seeking an experienced Senior Computational Biologist to join their innovative genomics research team in Stellenbosch . This role offers a hybrid work arrangement, providing the opportunity to collaborate closely with lab-based colleagues while retaining flexibility for remote work. You will be central to analyzing and interpreting complex genomic data, developing cutting-edge analytical pipelines, and contributing to high-impact biological research. The ideal candidate possesses a strong quantitative background, deep expertise in genomics and bioinformatics, and a passion for unraveling the complexities of the genome. You will play a key role in advancing our understanding of biological systems.

Key Responsibilities

• Analyze large-scale genomic, transcriptomic, and epigenomic datasets using advanced computational and statistical methods.
• Develop and maintain robust bioinformatics pipelines for sequence alignment, variant calling, and differential gene expression analysis.
• Collaborate with experimental biologists to design studies and interpret results in the context of biological hypotheses.
• Implement and adapt cutting-edge algorithms and machine learning approaches for genomic data analysis.
• Curate and manage genomic databases, ensuring data quality and accessibility.
• Prepare technical reports, visualizations, and presentations for scientific meetings and publications.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Genetics, or a related quantitative field.
• A minimum of 5 years of experience in analyzing large-scale genomic datasets.
• Strong programming skills in Python or R, and experience with scripting languages (e.g., Bash).
• Expertise in using bioinformatics tools and databases relevant to genomics research.
• Demonstrated ability to work collaboratively in a hybrid team setting and communicate complex scientific concepts effectively.
• Solid understanding of molecular biology and genetics principles.

Benefits

• Competitive salary and performance-related bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and professional development opportunities.
• Access to high-performance computing clusters and advanced genomic technologies.
• Hybrid work model balancing on-site collaboration and remote flexibility.
• A stimulating research environment in the heart of Stellenbosch.