About the role

AI summarised

We are seeking a Senior Software Engineer to join the LC/MS R&D team, where you will architect, design, and implement software for next-generation spectrometry instrumentation. You will collaborate with cross-functional teams to deliver innovative software solutions for analytical instruments used in life sciences and applied markets. This role involves hands-on development, Agile practices, and leadership in design and coding standards.

Life SciencesOnsite

Key Responsibilities

Design, implement, and deploy efficient, robust software modules with new features, adhering to best practices in architecture and coding.
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.