About the role
Senior Software Engineer role based on the published job description. Key responsibilities and requirements were extracted directly from the posting for quick review.
Life SciencesOnsite
Key Responsibilities
- We are seeking a highly skilled and motivated Senior Software Engineer to join our LC/MS R&D team.
- In this role, you will play a pivotal part in accelerating the development and refinement of our next-generation LC/MS instrumentation.
- Architect, design, and implement software solutions for a range of spectrometers, and contribute to the development of our Tune Calibration Diagnostics platform.
- Collaborate with a dynamic, cross-functional team of software developers, architects, scientists, engineers, and product marketing professionals to deliver innovative software applications and services that support analytical instruments used by global customers in life sciences and applied markets.
- 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.
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.