As aResearch Scientist, you will play a key role in designing, implementing, and validating new computational and machine learning frameworks. You will collaborate with their talented team of scientists and engineers to develop prototype and clinical software.

In this role, you will:

• Shape real-time surgical guidance technologyby developing cutting-edge computational and machine learning methods for hyperspectral imaging data.
• Design and implement algorithmsfor hyperspectral image data processing, including low-level image reconstruction, deep learning-based tissue property estimation, semantic segmentation, and stereo vision reconstruction for multi-view surgical guidance.
• Contribute to innovationby supporting patent filings and research publications.
• Work closely with software development and regulatory teamsto ensure seamless integration from R&D to deployment.

A Bit About You

• MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or a related technical discipline.
• Strong knowledge of machine learning and computer vision algorithms.
• Experience with scientific software packages (e.g., PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn).
• Experience in image quality improvement - Noise reduction / image denoising/ Image filtering / Super-resolution / image reconstruction (especially interesting when used for video cameras, although also relevant in CT / MRI/ microscopy)
• Familiarity with standard software engineering practices (version control, software testing).
• Excellent oral and written communication skills.
• Analytical mindset, detail-oriented, creative, and collaborative.
• A commitment to fostering an inclusive and diverse team culture.
• (Bonus: Unique skills, languages, or life experiences that enrich the team dynamic.)

What they Offer

• Impactful Work: Shape a MedTech start-up developing next-generation surgical guidance technology.
• Expert Leadership: Our board includes serial entrepreneurs in MedTech and surgical robotics, and you'll work alongside thought leaders in healthcare engineering.
• Academic & Clinical Partnerships: As a spin-out from a top academic institution, we have access to hospitals, simulation facilities, labs, and computational resources.
• Real-World Application: Contribute directly to ongoing clinical studies, including neurosurgery and laparoscopic surgery trials, impacting real patients.
• Multidisciplinary Team: Collaborate with experts in surgery, AI, biomedical engineering, and regulatory affairs.
• Innovative Environment: A workplace that fosters curiosity, creativity, and autonomy, bridging industry, academia, and clinical practice.
• Flexible Working: Enjoy flexible hours and remote working options.
• Career Growth: We are committed to employee development and equal opportunities for advancement.