About the role

AI summarised

Senior Software Engineer to join LC/MS R&D team, architecting and implementing software for next-generation LC/MS instrumentation. Collaborate with cross-functional team to deliver software applications for analytical instruments in life sciences.

Life SciencesFull-timeGeneral

Key Responsibilities

Apply advanced computer science and programming expertise to solve real-world challenges in analytical and life science domains.
Design, implement, and deploy efficient, robust software modules with new features, adhering to best practices in architecture and coding.
Engage in hands-on development activities including coding, unit testing, integration testing, and peer reviews.
Lead and participate in design review sessions; clearly present and demo your work to internal stakeholders.
Collaborate with front-end developers to ensure seamless integration across the software stack.
Work within an Agile development environment, contributing to sprint planning, retrospectives, and continuous improvement.
Help define and uphold high standards for design and coding practices in partnership with architects and technical leaders.

Requirements

Over five years of experience in software development, including multiple years dedicated to designing and implementing software solutions for instrument control.
Advanced degree in Computer Engineering, Analytical Chemistry, Electrical Engineering, or equivalent professional experience.
Proficiency in C, C#, and .NET within the Microsoft development ecosystem.
Proficiency with object-oriented programming and design patterns in C#
Experience with projects involving real-time systems, multi-threading, and user experience considerations
Experience with WPF and MVVM design is advantageous
Experience with software localization, regulated/audited environments, chromatographic data systems is considered an asset
Background in mass spectrometry, data acquisition, data analysis, medical or instrumentation products is beneficial
Experience with Python and machine learning is a plus.
Strong foundation in software architecture, algorithm design, data structures, modularity, and maintainability.
Excellent communication skills with the ability to clearly articulate technical concepts in English.