Senior Bioinformatician - Genomics Analysis

Placements24; East London; On-site; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Paid time off

Professional development budget

Access to HPC resources

Collaborative research environment

Job summary

Placements24 in East London, South Africa, seeks a Senior Bioinformatician to lead the Genomics Analysis team and develop computational pipelines for genomics and transcriptomics data.

You will collaborate with biologists, clinicians, and data scientists to uncover biological insights and drive disease-marker discovery in a multidisciplinary research environment.

Qualifications

• Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics, with a strong focus on analyzing large-scale genomics data.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
• Extensive experience with NGS data analysis tools and pipelines.

Responsibilities

• Design, develop, and maintain robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Perform complex statistical analyses and interpretation of genomic, transcriptomic, and epigenomic datasets.
• Collaborate with biologists, geneticists, and clinicians to define research questions and design appropriate analyses.
• Develop and implement custom scripts and algorithms to address specific research needs.
• Visualize and communicate complex genomic data to both technical and non-technical audiences.
• Stay current with the latest advancements in bioinformatics tools, algorithms, and technologies.

Skills

Python

R

Perl

NGS data analysis

Statistics

Machine learning

Collaboration

Education

Master's or Ph.D. in Bioinformatics/Computational Biology/related

Tools

NGS tools

Variant calling

Job description

About the Role

Our client, a prominent research and development institute located in East London , is seeking a highly skilled Senior Bioinformatician to lead their Genomics Analysis team. This critical role involves developing and implementing cutting-edge computational pipelines to analyze large-scale genomic and transcriptomic data. You will play a key part in uncovering biological insights, identifying disease markers, and contributing to advancements in various life science fields. This is an exceptional opportunity for an experienced bioinformatician to work with significant datasets and collaborate with a multidisciplinary team in a supportive research setting.

Key Responsibilities

• Design, develop, and maintain robust bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Perform complex statistical analyses and interpretation of genomic, transcriptomic, and epigenomic datasets.
• Collaborate with biologists, geneticists, and clinicians to define research questions and design appropriate analyses.
• Develop and implement custom scripts and algorithms to address specific research needs.
• Visualize and communicate complex genomic data to both technical and non-technical audiences.
• Stay current with the latest advancements in bioinformatics tools, algorithms, and technologies.

Requirements

• Master's or Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in bioinformatics, with a strong focus on analyzing large-scale genomics data.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl).
• Extensive experience with NGS data analysis tools and platforms (e.g., alignment software, variant callers, pathway analysis tools).
• Solid understanding of statistical methods and machine learning algorithms relevant to biological data.
• Excellent problem-solving, communication, and collaboration skills.

Benefits

• Competitive salary and attractive bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and professional development budget.
• Access to high-performance computing resources and cutting‑edge bioinformatics software.
• A stimulating and collaborative research environment in East London focused on innovation.