Research Engineer

Research Engineer Color Science in HealthCare

Barco Labs

At Barco, we design cutting-edge technology that enhances everyday life. We go beyond the image, creating integrated solutions in sight, sound, and sharing that empower people to collaborate, exchange 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's possible.

Innovation in healthcare

Healthcare is one of Barco’s core markets. For years, we’ve contributed to breakthroughs in radiology, mammography, surgery, dermatology, dentistry, pathology, and more.

The Barco Labs Healthcare Innovation team operates like an internal startup and is dedicated to shaping the future of healthcare. This multidisciplinary team—comprising technical experts and researchers, commercial strategists, and clinical experts —are 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 through 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 Research Engineer Color Science you will be contributing to a variety of innovations for healthcare applications, with special focus on image processing and color science technologies. 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 Research Engineer Color Science, 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
• Stay up to date with the new academic, international standardization, regulatory and commercial developments and trends in 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 Degree in Engineering or Informatics with expertise in Image Processing, Computer Vision, Applied Color Science, or a closely related field.
• Has experience with working in a medical device development context (MDD/MDR, regulatory pathways, Software As a Medical Device)
• Has a profound knowledge of image processing, visualization and rendering technologies, such as OpenCV, …
• Has a profound knowledge of Python and C++
• Has basic knowledge of medical imaging applications, such as digital pathology, mammography, radiology & surgical imaging.
• We are looking for a colleague who ideally brings the following experience and expertise, or has the ambition to grow into these areas within 2–3 years:
• Design and (clinical) validation of Image Processing and Computer Vision algorithms for healthcare applications, including eg.
• Definition of (healthcare) data collection protocols
• Algorithms to calibrate and normalize (image) data, enhance visualization, detect features, segment objects...
• Considering impact of human factors and usability aspects for safety and effectiveness of the developed solutions
• Validation & verification methodologies for algorithms in healthcare, including clinical trials
• A deep understanding of color science, quantifying perceived variability in an imaging chain
• Dealing with human perception, metamerism, environmental light impact
• Knowledge of display technologies, such as HDR, wide gamut, … and their impact on human perception.
• The following is a plus:
• Proficiency in dealing with Linux compute environments.
• Experience with development and validation of AI algorithms
• Experience with color grading
• Experience with stereoscopic imaging
• Experience with simulation environments such as Blender, Unity, …
• Experience in standardization activities
• Experience with scientific publications
• Works thoroughly and can work independently and with great perseverance towards a result that meets the requirements and constraints, that is evaluated and documented and meets the quality level expected in a healthcare context.
• Is pro-active, takes initiative and shows end-to-end problem ownership.
• Is a loyal team player with good (English) communication skills, Dutch is a plus.

 
What’s in it for you?  

• Drive innovation by exploring technologies that can contribute to novel products and services for the healthcare market
• Be part of an innovative group with startup mentality inside a larger company
• Work for a global technology top employer
• Appreciate the comfort of our eye-catching headquarters
• Enjoy continuous training opportunities at our very own Barco University
• Enjoy a competitive salary package

D&I Statement

At Barco, innovation drives everything we do. We believe that diversity fuels creativity, bringing us closer to our colleagues and customers. Inclusion and equity aren't just values—they're core capabilities that propel us toward our shared goals and mission.

Read here how we do this