Web Application Specialist
mcgill · Penfield 740 · On-site
Pay: USD 82,280 – 102,850 a year
Posted Oct 6, 2026
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Position summary:
At Canadian Centre for Computational Genomics (C3G) at McGill University, we build open-source Research Data Management (RDM) solutions that support every stage of the genomics and health data lifecycle. Our portals, APIs, databases and tools are the infrastructure behind national genomics and health data sharing in Canada. If you want your work to matter beyond the sprint, this is that role. Projects include:
The Pan-Canadian Genome Library (PCGL)
The Terry Fox Marathon of Hope Cancer Centre Network (MoHCCN)
The International Human Epigenome Consortium (IHEC)
The Quebec COVID-19 Biobank (BQC19)
We also provide bioinformatics analysis software and high-performance computing services to the life sciences research community, including widely used analysis pipelines.
A Web Application Specialist will engage in the development of online data sharing solutions, notably the Bento Platform ( https://github.com/bento-platform ), which supports the Pan-Canadian Genome Library ( https://genomelibrary.ca/ ), and many other projects in the fields of genomics, epigenomics, and life science.
Under the supervision of the Data Team Lead, the Web Application Specialist will implement and maintain client-side and server-side applications, extending the tools and technologies already in place using JavaScript (React/TypeScript), Python, PostgreSQL, Docker and more. Short development cycles will involve small but frequent releases, and constant interactions with the bioinformatics platform team members.
Primary responsibilities:
Design, build, test, deploy, monitor and maintain high-quality interactive web applications using TypeScript with React
Develop server-side applications (APIs) and scripts, such as back-end data services and quality control pipelines, using Python
Focus on user experience, intuitive interfaces and interaction layers to create user-friendly web pages and applications
Ensure implementation is done using the best coding practices, including documentation, unit testing, etc.
Contribute in technological research and the prototyping of new clinical/genomics data services
Setup and maintain automation tools for testing, continuous integration & delivery
Optimise code when needed while making use of good software practices
Use an issue tracking system to document tasks, issues and bugs, and their resolution status throughout sprints
Ensure that all finished solutions work within a variety of browser types and screen settings along with the constraints set by development and design
Contribute to the code review…