Lead Computational Biologist - Genomics Research

Placements24; Vereeniging; Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary package

Comprehensive health benefits

Robust retirement plan

Professional growth funding (confs, 教育

Job summary

Placements24 in Vereeniging, Gauteng seeks a Lead Computational Biologist to direct genomics and bioinformatics research in a hybrid work setting, combining on-site collaboration with remote work flexibility.

You will lead a team of bioinformaticians, design analytical pipelines, and drive discoveries in personalized medicine and disease research using large-scale genomic datasets.

The role offers access to state-of-the-art resources and opportunities to publish in high-impact journals.

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or related field.
• Minimum of 6 years of experience in computational biology or bioinformatics with a focus on genomics.
• Experience leading research teams and managing complex bioinformatics projects.
• Proficiency in statistical analysis and programming languages such as Python and R.
• Hands-on experience with high-performance computing environments and cloud platforms.
• Familiarity with major genomics databases and analysis tools.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in a hybrid environment with on-site collaboration and remote productivity.

Responsibilities

• Lead the design and implementation of computational biology research projects in genomics and transcriptomics.
• Develop and maintain robust bioinformatics pipelines for large-scale data analysis.
• Analyze complex genomic datasets (e.g., WGS, RNA-seq) to identify biological insights.
• Collaborate with experimental biologists and clinicians to interpret results.
• Supervise and mentor junior computational biologists and bioinformaticians.
• Stay current with advancements in computational biology, ML, and genomics.
• Contribute to development of novel algorithms and software tools.
• Present findings at scientific conferences and publish in peer-reviewed journals.

Skills

Python

R

Leadership

Genomics

Statistics

Education

PhD in Computational Biology or related field

Tools

HPC

Cloud platforms

Bioinformatics pipelines

Job description

About the Role

Our client is seeking an experienced Lead Computational Biologist to direct cutting-edge research in genomics and bioinformatics within our innovative research center in Vereeniging, Gauteng. This role involves leading a team of bioinformaticians and data scientists, developing sophisticated analytical pipelines, and driving discoveries in areas such as personalized medicine and disease research. You will be instrumental in harnessing the power of large-scale genomic datasets to unravel complex biological questions. This position is offered on a hybrid basis, enabling close collaboration with on-site teams while providing the flexibility for remote work. We are dedicated to advancing biological understanding through data-driven insights.

Key Responsibilities

• Lead the design and implementation of computational biology research projects, focusing on genomics and transcriptomics.


• Develop and maintain robust bioinformatics pipelines for large-scale data analysis.


• Analyze complex genomic datasets (e.g., whole-genome sequencing, RNA-seq) to identify biological insights.


• Collaborate with experimental biologists and clinicians to interpret results and guide research directions.


• Supervise and mentor junior computational biologists and bioinformaticians.


• Stay current with the latest advancements in computational biology, machine learning, and genomics.


• Contribute to the development of novel algorithms and software tools for biological data analysis.


• Present research findings at scientific conferences and publish in peer-reviewed journals.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.


• Minimum of 6 years of experience in computational biology or bioinformatics, with a strong focus on genomics.


• Proven experience in leading research teams and managing complex bioinformatics projects.


• Expertise in statistical analysis and programming languages such as Python and R.


• Hands-on experience with high-performance computing environments and cloud platforms.


• Familiarity with major genomics databases and analysis tools.


• Excellent communication, presentation, and interpersonal skills.


• Ability to work effectively in a hybrid environment, balancing on-site collaboration with remote productivity.

Benefits

• Competitive salary package


• Comprehensive health benefits


• Robust retirement plan


• Opportunities for professional growth, including funding for conferences, workshops, and further education


• Access to state-of-the-art computational resources and a dynamic collaborative research environment in Vereeniging