Bioinformatics Analyst - Genomics Research

Placements24; Paarl; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Remote work

Flexible schedule

Computing resources

Publication opportunities

Job summary

Placements24 seeks a highly proficient Bioinformatics Analyst to join our remote-first research division. You will analyze genomic and transcriptomic data, applying advanced computational methods to drive discoveries in molecular biology and disease research.

Collaborate with a global team of scientists, develop robust pipelines, perform statistical analyses, and generate clear visualizations and reports for research findings.

Qualifications

• Master's or PhD in Bioinformatics, Computational Biology, Statistics, or related field.
• Experience analyzing large-scale genomic and transcriptomic datasets.
• Proficiency in Python or R and bioinformatics tools/packages.
• Strong statistics knowledge for biological data analysis.
• Experience with command-line interface and high-performance computing environments.

Responsibilities

• Process and analyze next-generation sequencing data (e.g., RNA-Seq, WGS, WES).
• Develop and implement robust bioinformatics pipelines for data quality control and analysis.
• Perform statistical analyses to identify differentially expressed genes, genetic variants, and pathways.
• Collaborate with bench scientists to design experiments and interpret biological implications of data.
• Generate clear and concise visualizations and reports for research findings.

Skills

Python

R

Statistical analysis

Genomics data analysis

Education

Master's or PhD in Bioinformatics

Tools

Bioinformatics tools

Job description

About the Role

Our client is seeking a highly proficient Bioinformatics Analyst to join their cutting-edge remote-first research division. This role is essential for analyzing and interpreting complex genomic and transcriptomic datasets to drive discoveries in molecular biology and disease research. You will collaborate closely with a global team of scientists, applying advanced computational and statistical methods to large-scale biological data. This is an exceptional opportunity for an individual passionate about bioinformatics to contribute to significant research projects, work with state-of-the-art tools, and advance their career in a flexible, remote working environment, contributing to impactful scientific outcomes.

Key Responsibilities

• Process and analyze next-generation sequencing data (e.g., RNA-Seq, WGS, WES).
• Develop and implement robust bioinformatics pipelines for data quality control and analysis.
• Perform statistical analyses to identify differentially expressed genes, genetic variants, and pathways.
• Collaborate with bench scientists to design experiments and interpret biological implications of data.
• Generate clear and concise visualizations and reports for research findings.

Requirements

• Master's or Ph.D. in Bioinformatics, Computational Biology, Statistics, or a related field.
• Demonstrated experience in analyzing large-scale genomic and transcriptomic datasets.
• Proficiency in programming languages such as Python or R, and relevant bioinformatics tools/packages.
• Strong understanding of statistical methods applied to biological data analysis.
• Experience with command-line interface and high-performance computing environments.

Benefits

• Competitive salary and comprehensive benefits package, fully supportive of remote work.
• Flexible work schedule and the ability to work from anywhere.
• Access to powerful computing resources and extensive scientific databases.
• Opportunities to contribute to high-profile research and publications.
• A dynamic, collaborative, and intellectually stimulating remote work culture.