At a Glance
- Tasks: Design and validate innovative algorithms for next-gen surgical technology.
- Company: Join a pioneering MedTech spin-out transforming surgery with AI-driven solutions.
- Benefits: Equity options, 25 days leave, hybrid work, and wellness support.
- Other info: Collaborative culture with opportunities for personal growth and unique contributions.
- Why this job: Make a real impact on patient care and shape the future of surgery.
- Qualifications: MSc or PhD in relevant fields and strong machine learning skills.
The predicted salary is between 40000 - 50000 £ per year.
We are seeking a curious, creative and motivated individual who rises to the challenges of building an innovation-driven, early-stage MedTech 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
- Designing and implementing 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
- Contributing to the dissemination through patenting and publications
- Closely working 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.
About us: 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.
A bit about you:
- 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, SciPy, NumPy, SciKit‑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)
What we offer:
- 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’ MedTech 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
Research Scientist - Medical Technology Development in London employer: Hypervision Surgical
At Hypervision Surgical, we pride ourselves on being an innovative employer that empowers our Research Scientists to make a tangible impact in the field of medical technology. Located at the cutting-edge St Thomas’ MedTech Hub in London, we offer state-of-the-art facilities, a collaborative work culture, and ample opportunities for professional growth, including equity participation and a generous benefits package. Join us in transforming surgical practices and enhancing patient care while enjoying a supportive environment that values diversity and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist - Medical Technology Development in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Hypervision Surgical on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with machine learning and computer vision. Bring it along to interviews to demonstrate your expertise and creativity.
✨Tip Number 3
Be ready to discuss your ideas! Hypervision is all about innovation, so come prepared with thoughts on how you could contribute to their surgical guidance technology. Your unique perspective could be what they’re looking for!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Hypervision Surgical.
We think you need these skills to ace Research Scientist - Medical Technology Development in London
Some tips for your application 🫡
Show Your Curiosity:We want to see your passion for innovation! In your application, highlight any projects or experiences that showcase your curiosity and creativity in the field of medical technology. Let us know how you've tackled challenges in the past.
Tailor Your CV:Make sure your CV is tailored to the role. Focus on your experience with machine learning and computer vision algorithms, and don’t forget to mention any relevant software packages you’ve worked with. We love seeing how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining Hypervision Surgical and how you can contribute to our mission. Be genuine and let your personality come through – we’re all about inclusivity and teamwork!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Hypervision Surgical!
How to prepare for a job interview at Hypervision Surgical
✨Know Your Algorithms
Brush up on your knowledge of machine learning and computer vision algorithms. Be ready to discuss specific frameworks you've worked with, like PyTorch or OpenCV, and how you've applied them in real-world scenarios. This shows your technical expertise and passion for the field.
✨Showcase Your Creativity
Prepare to share examples of how you've approached problem-solving creatively in past projects. Hypervision values innovation, so think about times when you developed unique solutions or improved existing processes. This will highlight your fit for their innovation-driven environment.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to describe your research or a project, so ensure you can convey your ideas clearly and concisely, both verbally and in writing.
✨Emphasise Teamwork and Inclusivity
Hypervision is all about collaboration and creating an inclusive environment. Be prepared to discuss your experiences working in teams and how you contribute to a positive team culture. Mention any unique talents or experiences that could enrich the team's diversity.
