Senior Bioinformatics Engineer

Agilus Consulting Group; Toronto; Hybrid; CAD 130,000 - 200,000; Full time

Job summary

Agilus by Synergie is seeking a Senior Bioinformatics Engineer in Toronto, Ontario, in a hybrid work environment. You will build scalable computational solutions at the intersection of software engineering, data science, and computational biology.

You will design and maintain cloud-based workflows, develop production-grade data pipelines, and collaborate with researchers and engineers to advance clinical and scientific research initiatives.

Qualifications

• Experience with genomic, clinical, or biomedical datasets.
• Experience with workflow orchestration tools and cloud platforms.
• Exposure to machine learning, AI, or advanced analytics.
• Experience in highly collaborative research environments.
• Background in bioinformatics, computational biology, computer science, data science, or a related discipline.
• Experience working with large datasets in cloud or high-performance computing environments.
• Strong understanding of software engineering principles and version control practices.

Responsibilities

• Develop and optimize computational pipelines for large-scale biological and clinical datasets.
• Design and maintain cloud-based analysis workflows.
• Build tools and platforms that enable researchers and scientists to work more efficiently.
• Collaborate with software engineers, researchers, and domain experts.
• Improve data quality, reproducibility, and scalability across analytical environments.
• Contribute to technical strategy and architecture discussions.
• Stay current with emerging technologies and methods in computational biology and bioinformatics.

Skills

Python

R

Java

Scala

Machine learning

Tools

Workflow orchestration tools

Cloud platforms

Job description

Agilus by Synergie is recruiting for a Senior Bioinformatics Engineer in the Health Sciences in a hybrid work environment in Toronto, Ontario. Our client is seeking an experienced Bioinformatics Engineer who enjoys operating at the intersection of software engineering, data science, and computational biology.

Unlike traditional laboratory-focused positions, this role emphasizes building scalable computational solutions, data workflows, and analytical platforms that support advanced scientific and clinical research initiatives.

A typical day:

• Develop and optimize computational pipelines for large-scale biological and clinical datasets.
• Design and maintain cloud-based analysis workflows.
• Build tools and platforms that enable researchers and scientists to work more efficiently.
• Collaborate with software engineers, researchers, and domain experts.
• Improve data quality, reproducibility, and scalability across analytical environments.
• Contribute to technical strategy and architecture discussions.
• Stay current with emerging technologies and methods in computational biology and bioinformatics.

Successful candidates will have:

• Experience working with genomic, clinical, or biomedical datasets.
• Experience with workflow orchestration tools and cloud platforms.
• Exposure to machine learning, AI, or advanced analytics.
• Experience in highly collaborative research environments.
• Background in bioinformatics, computational biology, computer science, data science, or a related discipline.
• Experience working with large datasets in cloud or high-performance computing environments.
• Strong understanding of software engineering principles and version control practices.

Total rewards:

$130000.00 - $200000.00 annually

An ideal candidate has:

• Strong programming skills in Python, R, Java, Scala, or similar languages.
• Experience developing production-grade data pipelines and workflows.

This posting is for an active opening.