Frontend Software Engineer in Mississauga, ON

Data Visualization Software Engineer

As the team is distributed between US (San Francisco) and Canada (Vancouver) the successful candidate should work in the Eastern or Pacific Time Zone.

Responsibilities

• Design and implement effective and delightful interactive interfaces to explore, visualize, and analyze data to help scientists develop scientific hypotheses and insights
• Solve challenging problems in data visualization and interface design
• Develop highly performant, responsive, scalable analysis software for large datasets
• Work with computational scientists, biologists, and other software engineers to elucidate the emerging needs of our scientists, whether they are working at the keyboard or the bench
• Collaborate with distributed scientific and engineering teams to support your software development efforts
• Contribute to the broader community through open-source software development

Required Qualifications

• BS or higher in bioinformatics, computer science, mathematics or related fields
• 5+ years experience (including any graduate school) developing tools for interactive data analysis and visualization
• Expertise in modern JS (ES6) programming
• Expertise in developing web applications (React, Vue, Svelte, or similar frameworks)
• Demonstrated expertise with JavaScript data visualization libraries, e.g., D3.js
• Expertise with high performance web-based visualization technologies, e.g., WebGL
• Proficiency with accessing and visualizing large amounts of data
• Experience with integrating with and consuming APIs
• Familiarity with cloud infrastructure, particularly AWS, to deploy web applications
• Passion for continuous learning and teaching others
• As the team is distributed between the US and Canada, the successful candidate should work in the Eastern or Pacific Time Zone.

Nice-to-haves

• Expertise in data visualization and information processing principles and methodology
• Experience building and deploying APIs
• Familiarity with UI design best practices, user-centric design, user research, usability testing, and iterative design
• Demonstrated adherence to best practices in software engineering, particularly version control, testing, and appropriate use of abstraction
• Data wrangling, processing, and analysis in Python and/or R
• Experience building interactive data apps in R and Python (Shiny, Streamlit, etc.)
• Knowledge of WebGPU
• Biological domain knowledge, specifically in single cell genomics
• Familiarity with formal build/release/deploy and continuous integration frameworks.

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