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Web/Data Front-End Software Engineer
2 months ago
Location: Mississauga, ON
Background
The Visualization and Interactive Data Analysis group within gRED Computational Catalysts is a group of scientists and engineers who build interfaces to help scientists better understand data. The development of high throughput methods to profile the genome, screen compounds, and automatically collect images rapidly generates vast amounts of data that enable us to better understand the underlying causes of disease and identify treatments. However, translating these data into insights to identify drug targets and candidates remains challenging. The sheer size of these data necessitates better techniques to query, explore, and analyze them. Moreover, these datasets are often highly dimensional, requiring the integration of data modalities to understand their meaning.
We combine our passion for visualization, information processing, and user-centered design with expertise in manipulating data to extract scientific insights - plus the engineering skills to bring this vision to life. Working closely with scientists who are experts in a particular disease area, we build easy-to-use tools to enable exploration and interpretation of large, heterogeneous data and analyses.
We also develop and share new methods to visualize and interact with data. Within this group, you'll lead efforts to design and build intuitive web-based applications that allow biologists to understand the genomic drivers of diseases.
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.
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.
