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.
Research software engineering Toronto, Canada
Bioinformatics and scientific computing for research organizations and biotech teams—building reproducible pipelines, scaling computation, and developing maintainable scientific tools.
Expertise
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.
Improve performance, resource use, and parallel execution as data volumes and compute needs grow, while keeping the scientific logic understandable.
Add testing, documentation, packaging, and maintainable interfaces while preserving the scientific intent at its core.
About
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
Contact
Get in touch to discuss the technical problem and project scope.
contact@kayzyme.com