Senior Computational Biologist

Placements24; Randburg; Hybrid; ZAR 1,200,000 - 1,600,000; Full time

Benefits offered by this job

Competitive salary

Health coverage

Home office stipend

HPC resources

Professional development

Job summary

Placements24 is seeking a Senior Computational Biologist for a fully remote, cutting-edge research team. The role drives discovery through large-scale omics analyses and leads advanced bioinformatics projects.

You will develop tools, mentor junior scientists, and collaborate with biologists and data scientists, contributing to publications and grant proposals in a remote-first environment. This position requires a PhD, at least five years of experience, and strong Python/R skills with sequencing

Qualifications

• PhD in Computational Biology or related quantitative field.
• 5+ years of experience in computational biology or bioinformatics with strong publication record.
• Proficiency in Python and R; experience with bioinformatics libraries.

Responsibilities

• Lead development and application of computational methods for genomic, transcriptomic, and proteomic data.
• Design and implement bioinformatics pipelines for data processing and analysis.
• Collaborate with experimental teams to define questions and provide data-driven insights.
• Develop and maintain custom scripts and software tools.
• Mentor junior computational biologists and contribute to team strategy.
• Present findings to scientific audiences and contribute to publications and grant proposals.

Skills

PhD required

Python

R

Sequencing data

Education

PhD in Computational Biology

Job description

About the Role

Our client is seeking a highly experienced Senior Computational Biologist to join their fully remote, cutting-edge research team. This role is critical for driving biological discovery through the advanced analysis of large-scale omics datasets. You will lead complex bioinformatics projects, develop novel computational tools, and collaborate closely with experimental biologists and data scientists across the organization. This is an exceptional opportunity for a skilled computational biologist to make a significant impact in a remote-first environment, shaping the future of our client's research and contributing to impactful scientific advancements, while enjoying a flexible and collaborative work setup.

Key Responsibilities

• Lead the development and application of computational methods for analyzing genomic, transcriptomic, and proteomic data.
• Design and implement bioinformatics pipelines for data processing, quality control, and statistical analysis.
• Collaborate with experimental teams to define research questions and provide data-driven insights.
• Develop and maintain custom scripts and software tools to support biological research.
• Mentor junior computational biologists and contribute to the team's technical strategy.
• Present findings to scientific audiences and contribute to publications and grant proposals.

Requirements

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5 years of experience in computational biology or bioinformatics, with a strong publication record.
• Proficiency in programming languages such as Python, R, and experience with relevant bioinformatics libraries.
• Extensive experience with high-throughput sequencing data analysis (e.g., RNA-Seq, ChIP-Seq, WGS).
• Strong understanding of statistical methods, machine learning, and biological pathways.
• Excellent communication and collaboration skills for remote team integration.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance.
• Flexible remote work environment with a generous home office stipend.
• Access to high-performance computing resources and cloud infrastructure.
• Opportunities for professional development, attending conferences, and career advancement.