Computational Biologist

Placements24; Rustenburg; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Competitive salary

Bonus potential

Fully remote

Flexible hours

Health benefits

Home office setup allowance

Professional development

Job summary

Placements24 seeks a highly skilled Computational Biologist to join a fully remote, innovative R&D team. You will analyze genomics, transcriptomics, and proteomics data, develop pipelines, and apply ML methods to identify therapeutic targets and disease mechanisms.

You will collaborate with biologists and data scientists, visualize complex data, and contribute to cutting-edge drug discovery through remote teamwork and rigorous scientific methods.

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• 4+ years of experience analyzing biological data using computational methods.
• Strong programming skills in Python or R; experience with bioinformatics libraries.
• Experience with scripting languages (e.g., Bash) and version control (Git).
• Experience with HPC environments and cloud platforms.
• Excellent communication and collaboration for remote work.

Responsibilities

• Develop and implement computational pipelines for large-scale biological datasets (genomics, transcriptomics, proteomics).
• Apply statistical and ML methods to identify patterns, biomarkers, targets.
• Collaborate with experimental biologists to design studies and interpret findings.
• Visualize data and present findings to teams and stakeholders.
• Maintain and enhance bioinformatics tools and develop new algorithms as needed.
• Stay current with advancements in bioinformatics and computational biology.

Skills

PhD in Computational Biology

Python or R

Git

Bash scripting

HPC / Cloud

Communication

Education

PhD in Computational Biology or related

Tools

Bioinformatics libraries

High-performance computing

Cloud platforms

Job description

About the Role

Our client is seeking a skilled Computational Biologist to join their fully remote, innovative research and development team. This position is vital for analyzing complex biological datasets, including genomic, proteomic, and transcriptomic data, to uncover new biological insights and drive drug discovery. You will work closely with experimental biologists and data scientists to develop and apply computational methods for understanding disease mechanisms and identifying therapeutic targets. This role offers the unique opportunity to contribute to high-impact scientific projects from the comfort of your home office, collaborating virtually with a leading team focused on advancing biological understanding through cutting-edge computational approaches, fostering a culture of scientific rigor and remote collaboration.

Key Responsibilities

• Develop and implement computational pipelines for the analysis of large-scale biological datasets (genomics, transcriptomics, proteomics).
• Apply statistical and machine learning methods to identify patterns, biomarkers, and potential therapeutic targets.
• Collaborate with experimental biologists to design studies and interpret computational findings in a biological context.
• Visualize complex biological data and present findings to research teams and stakeholders.
• Maintain and enhance existing bioinformatics tools and develop new algorithms as needed.
• Stay current with advancements in bioinformatics, computational biology, and relevant biological domains.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• Proven experience (4+ years) in analyzing biological data using computational methods.
• Strong programming skills in Python or R, and experience with bioinformatics libraries.
• Familiarity with scripting languages (e.g., Bash) and version control systems (e.g., Git).
• Experience with high-performance computing environments and cloud platforms.
• Excellent communication and collaboration skills for effective remote teamwork.

Benefits

• Highly competitive salary and potential for performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Opportunity to work on pioneering research in a growing field.
• Comprehensive health and wellness benefits package.
• Allowance for home office setup and continuous professional development.