Research Scientist - Medical Technology Development

We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage Med Tech spin‑out to change the future of surgery and play a significant role in developing next‑generation core algorithms of the company.

As a Research Scientist, you will help design, implement, and validate new computational and machine learning frameworks. You will work alongside our talented team of scientists and engineers to develop prototype and clinical software. In particular, you will

• shape our real‑time surgical guidance technology by developing state‑of‑the‑art computational and machine learning methods for hyperspectral imaging data
• design and implement algorithms for hyperspectral image data processing, from low‑level image reconstruction to deep learning‑based tissue property estimation and semantic segmentation tasks to stereo vision reconstruction for multi‑view surgical guidance
• contribute to the dissemination through patenting and publications
• closely work with our software development and regulatory team for efficient integration from R&D to deployment

At Hypervision Surgical, we welcome candidates who have the core skills for the post and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come and enjoy working with each other. By working together, we will change the way surgery is performed and improve patient care.

Hypervision Surgical (“Hypervision”) is a spin‑out from King’s College London, founded by clinicians and experts in medical imaging and artificial intelligence. Using safe light alone, our mission is to equip surgeons with real‑time, AI‑driven tissue intelligence to improve precision and patient safety.

We are pioneering the world’s first regulatory‑cleared real‑time intraoperative spectral imaging platform, combining on‑chip spectral sensing with high‑speed AI analytics at over 60 frames per second. Seamlessly integrating into existing surgical vision systems, our technology transforms standard cameras into intelligent, data‑rich tools — revealing anatomical, physiological, and pathological information beyond human vision.

Certified for both open and minimally invasive surgery, our platform achieved UKCA certification and FDA clearance in 2025 under a newly established AI/ML product code, and was admitted into the FDA’s Safer Technology Program. With multi‑centre clinical evaluations underway and strategic partnerships with world‑leading technology and surgical manufacturers, including imec and ZEISS Ventures, Hypervision is shaping the future of data‑driven surgery.

• MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline
• Strong working knowledge of machine learning and computer vision algorithms
• Experience with scientific software packages such as PyTorch, OpenCV, Pandas, Sci Py, Num Py, Sci Kit‑learn, etc.
• Experience in standard software engineering practices including version control systems and software testing methodologies
• Excellent oral and written communication skills
• Analytical thinker, attentive to details, creative and team player
• Show a strong sense of creating an inclusive environment (Bonus points if you bring a special talent, interest, new language, or unique life experience to the team)

• The opportunity to make a direct contribution to patient care and deliver real‑world surgical impact
• Access to state‑of‑the‑art surgical development facilities at St Thomas’ Med Tech Hub, including hospitals, operating rooms, labs, and computational resources, with offices located at the London Institute for Healthcare Engineering
• Equity participation via share option scheme
• 25 days of annual leave plus bank holidays
• Hybrid working arrangements, tailored with your manager to suit the needs of the role
• Employee Assistance Programme for wellbeing, legal, and financial support
• Cycle to Work Scheme and Workplace Nursery Benefits
• £150 annual tech stipend for productivity and office essentials
• Complimentary office snacks and drinks
• Monthly team socials in an inclusive, collaborative culture