Senior Computational Biologist - Remote

Placements24; Centurion; Hybrid; ZAR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Stock options

Health insurance

Remote work

Professional development

Global collaboration

Job summary

Placements24 is seeking a Senior Computational Biologist to join a globally distributed research team in a fully remote capacity. You will analyze large-scale omics datasets (genomics, transcriptomics, proteomics) and build scalable pipelines to drive therapeutic discovery.

The role emphasizes collaboration with experimental scientists, development of data visualization tools, and applying machine learning to predict drug responses, with generous professional development support and stock option

Qualifications

• PhD in Computational Biology, Bioinformatics, Computer Science, or related quantitative field.
• 5+ years of experience in computational biology or bioinformatics with omics data focus.
• Proficiency in Python or R and bioinformatics libraries/tools.
• Strong statistics knowledge and familiarity with ML algorithms.
• Experience with cloud platforms (AWS/GCP) and Git preferred.

Responsibilities

• Develop and implement bioinformatics pipelines for high-throughput sequencing data (NGS).
• Analyze genomic, transcriptomic, and proteomic datasets to identify biomarkers and targets.
• Collaborate with experimental biologists to design studies and interpret results.
• Develop robust data visualization tools and dashboards for scientific communication.
• Contribute to predictive modeling for drug response and patient stratification in remote settings.

Skills

Python

R

Omics data analysis

Machine learning

Cloud platforms (AWS/GCP)

Git

Education

PhD in Computational Biology or related field

Tools

Git

Job description

Our client is actively seeking a talented Senior Computational Biologist to join their pioneering research team on a fully remote basis. This role is critical for integrating and analyzing large-scale biological datasets, including genomics, transcriptomics, and proteomics, to drive discoveries in novel therapeutic areas. You will work with cutting-edge computational tools and collaborate virtually with a diverse team of scientists and engineers located globally. This is an ideal opportunity for an experienced professional who thrives in a remote work setting, possesses exceptional analytical skills, and is passionate about using data to unravel complex biological systems and contribute to groundbreaking scientific advancements from anywhere.

Key Responsibilities

• Develop and implement bioinformatics pipelines for the analysis of high-throughput sequencing data (e.g., NGS).
• Analyze and interpret complex genomic, transcriptomic, and proteomic datasets to identify disease biomarkers and therapeutic targets.
• Collaborate with experimental biologists to design studies, interpret results, and guide future research directions.
• Develop and maintain robust data visualization tools and dashboards for scientific communication.
• Contribute to the development of predictive models for drug response and patient stratification, working in a fully remote capacity.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field.
• 5+ years of experience in computational biology or bioinformatics, with a strong focus on analyzing omics data.
• Proficiency in programming languages such as Python or R, and experience with bioinformatics libraries and tools.
• Solid understanding of statistical methods, machine learning algorithms, and biological pathways.
• Experience with cloud computing platforms (e.g., AWS, GCP) and version control systems (e.g., Git) is highly desirable.

Benefits

• Competitive salary and potential for stock options.
• Comprehensive health, dental, and vision insurance coverage.
• Flexible working hours and the freedom of a fully remote work environment.
• Generous budget for professional development, including conferences and online courses.
• Opportunity to work on impactful research projects with a globally distributed, collaborative team.