Computational Biologist - Genomics Data Analysis

Placements24; Gauteng; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible remote work arrangements

Access to cloud computing resources

Continuous learning opportunities

Job summary

Placements24 is seeking a highly skilled Computational Biologist to join a fully remote research team focused on advancing genomic research. You will analyze large-scale genomic datasets, identify significant patterns, and develop predictive models to drive discoveries.

Work with bioinformaticians, data scientists, and wet-lab researchers from anywhere, contributing to cutting-edge genomics projects. The role emphasizes remote collaboration, advanced computational tools, and ongoing professional

Qualifications

• Ph.D. or M.Sc. in a related quantitative field.
• Proficient in Python or R with bioinformatics libraries.
• Strong experience with NGS data analysis (WGS, WES, RNA-seq).

Responsibilities

• Develop and implement bioinformatics pipelines for analysis of NGS data.
• Perform statistical analysis of genomic and transcriptomic datasets.
• Design and build predictive models using machine learning.
• Collaborate with experimental biologists to design studies and interpret results.
• Maintain and manage large genomic databases and computational resources.

Skills

Python

R

NGS data analysis

statistical genetics

machine learning

remote collaboration

Education

Ph.D. in Computational Biology or related field

M.Sc. in Computational Biology or related field

Job description

About the Role

Our client is seeking a highly skilled Computational Biologist to join their fully remote research team, supporting projects vital to advancing genomic research. This position is crucial for analyzing large-scale genomic datasets, identifying significant biological patterns, and developing predictive models that drive scientific discovery. Working remotely, you will collaborate with a diverse group of bioinformaticians, data scientists, and wet-lab researchers to translate complex biological questions into computational analyses. This role offers the unique opportunity to work from anywhere while contributing to pioneering work in genomics, leveraging advanced computational tools and techniques to accelerate research outcomes.

Key Responsibilities

• Develop and implement bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data.
• Perform statistical analysis and interpretation of genomic and transcriptomic datasets.
• Design and build predictive models using machine learning techniques for biological applications.
• Collaborate with experimental biologists to design studies and interpret results.
• Maintain and manage large genomic databases and computational resources.

Requirements

• Ph.D. or M.Sc. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• Proficiency in programming languages such as Python or R, and experience with relevant bioinformatics libraries.
• Strong experience with NGS data analysis (e.g., WGS, WES, RNA-seq).
• Familiarity with statistical genetics and machine learning algorithms.
• Excellent communication skills and the ability to work effectively in a remote , collaborative environment.

Benefits

• Highly competitive salary package.
• Flexible remote work arrangements, allowing you to work from anywhere.
• Opportunities for continuous learning and professional growth in a rapidly evolving field.
• Access to cutting-edge computational infrastructure and cloud computing resources.
• Contribution to impactful genomics research that shapes future scientific understanding.