Imaging & Analysis Software Engineer (Canada)

LifeCanvas Technologies, an MIT spinoff venture, is revolutionizing the way we see and study biological systems. LifeCanvas offers cutting-edge technologies and end-to-end solutions that enable holistic molecular imaging of biological systems, accelerating breakthrough discoveries in science and the development of new therapeutic strategies. As a key partner in this global effort, our computational team works on enabling scientific innovation and directly collaborates with global researchers in bioengineering, neuroscience, and oncology.Job SummaryWe are seeking an ambitious and motivated
Imaging & Analysis Software Engineer
to join our dynamic team. This position will be jointly part of the
SPIM Imaging Team
andthe
Data Engineering & Analysis Team, bridging microscopy imaging systems, scientific software engineering, and customer-facing technical support.The ideal candidate will have hands-on experience in software development, installation, troubleshooting, and maintenance, with a strong interest in biomedical imaging and data analysis. In this role, you will be responsible for deploying, supporting, and maintaining imaging data management and analysis software for both internal teams and external customers. You will also contribute to developing new software features, improving existing applications, and ensuring the reliability and usability of the software. You will collaborate closely with our imaging and software engineers and biomedical data analysts, and customers to resolve technical challenges, streamline software workflows, and support the successful adoption of LifeCanvas Technologies in a fast-paced startup environment.Key ResponsibilitiesInstall, configure, and deploy imaging data management and analysis software for internal teams and external customers, including setup, integration, and validation in different computing environments.Provide technical support to customers, including troubleshooting software issues, resolving installation and configuration problems, and assisting with imaging data processing and analysis workflows.Maintain and improve existing software applications and ensure reliable operation across different hardware and software environments.Implement new features upon request by customers or internal development needs.Work closely with the SPIM Imaging and Data Engineering & Analysis teams to integrate image acquisition, data management, processing, and analysis workflows.Develop and maintain technical documentation, installation guides, troubleshooting procedures, and software testing protocols to improve usability and supportability.Communicate technical solutions clearly to customers and provide guidance or training on software functionality, configuration, and best practices.Qualifications:Bachelor's degree in computer science, software engineering, electrical engineering, bioengineering, computational biology, or a related field with 2+ years of relevant professional experience, or equivalent advanced education.Experience with software installation, configuration, deployment, and troubleshooting in Linux and/or Windows environments.Familiarity with software engineering best practices, including version control, testing, debugging, and documentation.Excellent communication skills to facilitate information flow between teams.Strong problem-solving skills with a self-motivated and detail-oriented mindset and the ability to work in a team environment while being comfortable with taking full ownership to accomplish overall goals.Ability to communicate effectively with both technical and non-technical users, particularly in customer-facing support situations.Strong interest in working in a fast-growing life sciences startup environment.Preferred Qualifications:Experience developing or maintaining scientific imaging, image processing, or image analysis software.Familiarity with light-sheet fluorescence microscopy, neuroscience, and immunohistochemistry.Experience working with large imaging datasets, including TIFF, Zarr, or other scientific image formats.Experience with software deployment, packaging, or distribution tools such as Conda, pip, Docker, or installation scripts.Full insurance package for full-time employees.
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