Research software engineering Toronto, Canada

Research software, engineered for production

Bioinformatics and scientific computing for research organizations and biotech teams—building reproducible pipelines, scaling computation, and developing maintainable scientific tools.

Engineering for the realities of scientific work

Build a reproducible analysis pipeline

Design and implement bioinformatics workflows for complex analyses, from focused pipelines to cloud-based execution. Experience includes Nextflow, Galaxy, Python, Java, Google Cloud, and AWS.

Scale an existing workflow

Improve performance, resource use, and parallel execution as data volumes and compute needs grow, while keeping the scientific logic understandable.

Strengthen a successful research prototype

Add testing, documentation, packaging, and maintainable interfaces while preserving the scientific intent at its core.

Experience across research and biotech

More than 15 years of experience spans the development of bioinformatics tools, computational systems, and data pipelines across academia, research institutes, and biotech startups.

The work is informed by a background in numerical analysis, applied mathematics, and computer science.

PracticeIndependent consultancy

LocationToronto, Canada

EngagementsDefined, multi-month projects

Have a project in mind?

Get in touch to discuss the technical problem and project scope.

contact@kayzyme.com