Software Engineer - Healthcare Research

Software Engineer - Healthcare Research

Location:

Kortrijk, BE

Barco Labs

At Barco, we design cutting-edge technology to enhance everyday life. We look beyond the image, creating integrated sight, sound, and sharing solutions that help people collaborate, share knowledge, and captivate audiences. In Barco Labs, our team of experts explores emerging technologies and builds pioneering proof-of-concepts across our Healthcare, Enterprise, and Entertainment divisions, or to venture into new markets.

Our mission is to stay at the forefront of technological innovation. By developing demonstrators and collaborating with internal and external stakeholders, we challenge ourselves to uncover new use cases and push the boundaries of what is possible.

Innovation in healthcare

Healthcare is one of the key markets of Barco. For many years, we have contributed to advancements in radiology, mammography, surgery, dermatology, dentistry, pathology, and more.

The Barco Labs Healthcare Innovation team (consider our team to be an internal startup inside a large company) is dedicated to shaping the future of healthcare. This multidisciplinary team—comprising technical experts and researchers, commercial strategists, and clinical experts — is constantly looking to develop solutions that improve patient care and healthcare models.

By adopting an entrepreneurial mindset, we focus on the real needs of healthcare professionals and patients. In close collaboration with hospitals, healthcare providers, patients, and regulatory bodies, we guide innovations throughout the entire development cycle. From ideation and MVP definition to market evaluation, business case creation, R&D, and clinical validation, our team ensures that each solution meets the highest standards. We manage every step, from the creation of proof-of-concepts and market validation to commercial introduction and early-stage sales, making sure our innovations have a lasting impact on the healthcare industry.

Purpose of the job

As Software Engineer you will be participating in various research projects, exploring the state-of-the-art and contributing to demonstrators and proof-of-concepts. Together with a team consisting of researchers, developers, product managers, and clinical experts, you will be able to contribute to the future of healthcare.

As a Software Engineer, you

• Are an outcome-oriented expert, you seek to in-depth understand end-user, partner, and patient problems and think of innovative solutions.
• Implement iteratively and in close collaboration with internal and external (clinical) partners, first-of-a-kind prototypes, and proof of concepts.
• You enjoy working with and exploring new technologies.
• Stay up to date with the new academic, international standardization, regulatory and commercial developments and trends in computer science, healthcare imaging, and visualization applications.
• You share and interact around these insights with your peers, both internally and externally (conferences)
• Are a team player, you collaborate with your peers, internal stakeholders and external partners to develop and demonstrate innovative solutions to challenging problems.

We are looking for a colleague who

• Has a master's degree in computer science or a closely related field or equivalent through experience.
• The context of the job will depend on project to project, so while it is interesting to tick a couple of boxes below, a deep-dive attitude is the strict necessity:
• Strong background in software engineering in modern languages like Python, C/C++, TypeScript, ... and the matching language ecosystems
• Basic experience with cloud platforms like AWS
• Hands-on experience with Linux platforms, Docker, embedded systems, ...
• Basic software engineering tooling and best practices, like git, Github, CI/CD, Atlassian stack
• Background/interest in AI and machine learning and all necessary practices around it (data collection, data exploration, cleaning, training, MLops, ...)
• Experience with image processing but also with hardware acceleration like GPUs (CUDA, Vulkan, OpenGL, shaders, ...)
• Following the current technology hypes like LLMs, Generative AI and Agent AI, and being able to identify value from buzzwords.
• A creative/maker/tinkering mindset to build test setups/PoC with the equipment material at hand and to select the-right-tool-for-the-job whether it is a Raspberry pi, some Arduino’s, Unreal Engine or Ollama.
• As we are contributing to the healthcare field, the following can be a plus:
• Prior knowledge of medical imaging, e.g. processing of medical imaging, DICOM file format, ...
• Experience with working in a medical device development context (MDD/MDR, regulatory pathways, Software as a Medical Device, EU AI Act)
• Experience with interaction with healthcare organizations (data collection protocols, clinical studies, ...)
• Interest in collaborating in a broader eco-system, contributing to funded research.
• Works thoroughly, both in