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Front-end Data Engineer

2 months ago


Montreal, Quebec, Canada Groupe SII Full time
About the Role

We are seeking a highly skilled Data Visualization software engineer to join our team at Groupe SII. As a key member of our group, you will play a critical role in developing effective and efficient data analysis software systems to support interactive analysis of genomic data.

Key Responsibilities
  • Design and implement highly performant, responsive, and interactive analysis software for large datasets.
  • Collaborate with business analysts, computational scientists, and other software engineers to understand and conceptualize the complex needs of our scientists.
  • Develop and maintain cutting-edge visualizations for genomic data analysis, leveraging modern JS (ES6) programming and high-performance web-based visualization technologies.
  • Work with local and off-shore engineering teams to support software development efforts and contribute to the broader scientific community through open-source software development.
  • Stay up-to-date with industry trends and advancements in bioinformatics, data analysis, and visualization.
Requirements
  • BS or higher in bioinformatics, computer science, mathematics, or related fields.
  • 5+ years of experience developing tools for interactive data analysis and visualization.
  • Expertise in modern JS (ES6) programming and high-performance web-based visualization technologies.
  • Familiarity with UI design best practices, usability testing, and iterative design.
  • Demonstrated adherence to best practices in software engineering, particularly usability, version control, testing, and abstraction.
  • Biological domain knowledge, specifically in single-cell genomics, and basic data analysis skills are desirable but not required.
What We Offer
  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and development.
  • A competitive salary and benefits package.
  • The chance to work on cutting-edge projects and contribute to the advancement of bioinformatics and data analysis.