Computational Biologist - Genomics

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Stock options

Remote work flexibility

Health insurance

Learning & conferences

Job summary

Placements24 is seeking a highly skilled Computational Biologist specializing in Genomics to join a remote-first research team based in Nelspruit. The role focuses on analyzing large genomic datasets to accelerate discovery and therapeutic strategies, using advanced computational and statistical methods in a virtual environment.

You will develop pipelines for sequencing data, apply ML and statistics to genomic data, and collaborate with experimental biologists to interpret results.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Genetics, Statistics, or a related field.
• Demonstrated expertise in analyzing large-scale genomic datasets.
• Strong programming skills in Python, R, or Perl and experience with bioinformatics libraries.
• Solid understanding of statistical principles and machine learning techniques applied to biological data.
• Excellent problem-solving and remote-team collaboration skills.

Responsibilities

• Develop and implement pipelines for analyzing high-throughput sequencing data (e.g., whole-genome, exome, RNA-Seq).
• Perform statistical analysis and interpretation of genomic variation, gene expression, and epigenetic data.
• Collaborate with experimental biologists to design genomic studies and interpret results.
• Develop novel algorithms and computational tools to address specific research questions.
• Visualize and communicate complex genomic findings to diverse scientific audiences.

Skills

Python

R

Perl

Statistics

Machine Learning

Remote teamwork

Education

Ph.D. in Computational Biology

Tools

Bioinformatics tools

Job description

About the Role

Our client is seeking a skilled Computational Biologist specializing in Genomics to join their pioneering, remote-first research team based in Nelspruit . This role is integral to unlocking the potential of vast genomic datasets to accelerate scientific discovery and develop novel therapeutic strategies. You will employ advanced computational and statistical methods to analyze complex genomic information, identify patterns, and translate findings into actionable biological insights. The ideal candidate is a proficient programmer with a deep understanding of biological systems and a passion for tackling complex challenges in a virtual environment. This is a fantastic opportunity to contribute to cutting-edge research in a collaborative, remote-focused setting.

Key Responsibilities

• Develop and implement pipelines for analyzing high-throughput sequencing data (e.g., whole-genome, exome, RNA-Seq).
• Perform statistical analysis and interpretation of genomic variation, gene expression, and epigenetic data.
• Collaborate with experimental biologists to design genomic studies and interpret results.
• Develop novel algorithms and computational tools to address specific research questions.
• Visualize and communicate complex genomic findings to diverse scientific audiences.

Requirements

• Ph.D. in Computational Biology , Bioinformatics, Genetics, Statistics, or a related field.
• Demonstrated expertise in analyzing large-scale genomic datasets .
• Strong programming skills in languages such as Python, R, or Perl, and experience with relevant bioinformatics tools and libraries.
• Solid understanding of statistical principles and machine learning techniques applicable to biological data.
• Excellent problem-solving skills and the ability to work independently and effectively in a remote team setting.

Benefits

• Highly competitive salary and performance-based bonuses.
• Generous stock options and long-term incentives.
• Flexible remote work arrangement, promoting autonomy and work-life balance.
• Comprehensive health, dental, and vision insurance.
• Opportunities for continuous learning and professional growth, including attending leading conferences.