Expert Research Engineer AI in HealthCare
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's 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 —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 Expert Research Engineer AI you will be contributing to a variety of AI algorithms for healthcare applications. 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 an Expert Research Engineer AI, you
1. Are an outcome-oriented expert, you seek to in-depth understand end-user, partner, and patient problems and think of innovative solutions.
2. Implement iteratively and in close collaboration with internal and external (clinical) partners, first-of-a-kind prototypes and proof of concepts
3. Stay up to date with the new academic, international standardization, regulatory and commercial developments and trends in healthcare imaging and visualization applications
4. You share and interact around these insights with your peers, both internally and externally (conferences)
5. 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
6. Has a Master or Ph.D. degree in Computer Science, Artificial Intelligence, or a closely related field.
7. Has experience with working in a medical device development context (MDD/MDR, regulatory pathways, Software As a Medical Device, EU AI Act)
8. Has experience with design and (clinical) validation of AI algorithms for healthcare applications, including eg. Definition of (healthcare) data collection protocols Data cleaning, missing data correction, normalization Design and training of AI algorithms for healthcare applications Considering impact of human factors and usability aspects for safety and effectiveness of the developed solutions Validation & verification methodologies for AI algorithms in healthcare, including clinical trials
9. Has experience with implementing computer vision algorithms, such as domain specific data augmentations, object segmentation, image registration, AI output post-processing, …
10. Has a profound knowledge of Python and at least one of the most important machine learning frameworks (Tensorflow, Keras, Pytorch,...)
11. Has basic knowledge of medical imaging applications, such as digital pathology, mammography, radiology & surgical imaging.
12. Is proficient in dealing with Linux compute environments.
13. The following is a plus: 2+ years of experience in AI research, MLOps or image processing. Experience with the NVIDIA software ecosystem Experience with both on-premise and in-cloud AI development Federated learning using NVFlare Experience with scientific publications and/or funded projects Practical implementation of (training and inference) pipelines for AI algorithms in healthcare Experience with design and (clinical) validation of image processing algorithms, algorithms to calibrate and normalize (image) data, enhance visualization, detect features, segment objects...
14. 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.
15. Is pro-active, takes initiative and shows end-to-end problem ownership.
16. Is a loyal team player with good (English) communication skills, Dutch is a plus.
What’s in it for you?
17. Drive innovation by exploring technologies that can contribute to novel products and services for the healthcare market
18. Be part of an innovative group with startup mentality inside a larger company
19. Work for a global technology top employer
20. Appreciate the comfort of our eye-catching headquarters
21. Enjoy continuous training opportunities at our very own Barco University
22. 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.