• Sunday, Oct 8, 2023

London, United Kingdom

Internship opportunities

We are seeking curious, creative and motivated interns who want to join us for a period of 3-6 months. We welcome a wide range of experiences where projects will be allocated based on background and interests for the following areas:

  • Research & Development: Develop next-generation imaging algorithms and systems for surgery
  • Quality & Regulatory: Convert innovative technology into healthcare products as part of an ISO 13485 quality management system
  • Human Factors Engineering & Clinical Validation: Help with human factors engineering studies and clinical validation of an intraoperative imaging system for surgery
  • Marketing & Communications: Help devise digital marketing and communications strategies
Research & Development

Potential topics include:

  • Development of next-generation algorithms for hyperspectral imaging data
  • Development of real-time, low-latency image processing tools for image analysis, storage and visualisation of hyperspectral video streams during surgery
  • Design, implementation, and validation of our intraoperative imaging system
  • Design and execution of validation tests for our intraoperative hyperspectral imaging system using realistic phantom models, ex-vivo and in-vivo experiments

Background: You would typically be enrolled in or graduated from a STEM-related degree programme including computer science, mathematics, physics, software engineering, robotics, or biomedical engineering.

Relevant expertise and interests: Machine learning, medical image computing, computer vision, image processing, video compression, data analytics, software development (Python, C/C++), scientific packages (PyTorch, OpenCV, Pandas, SciPy, Numpy), operating systems and cybersecurity (linux), biophotonics, optical imaging systems, system integration, phantom development, oximetry.

Quality & Regulatory

Potential topics include:

  • Conversion of innovative technology into healthcare products as part of an ISO 13485 Quality Management System (QMS)
  • Set up of procedures for the assembly and quality assurance of integrated prototypes and products
  • Technical documentation of delivered software and hardware

Background: You would typically be enrolled in or graduated from a STEM-related degree programme including software engineering, mechanical engineering, robotics, or biomedical engineering.

Relevant expertise and interests: Working in a regulated industry, medical device product development standards, medical device risk management, software as a medical device, CI/CD, good software practices, UKCA/CE marking, FDA clearance, functional requirements, user requirements, technical documentation, verification & validation, design history files.

Human Factors Engineering & Clinical Validation

Potential topics include:

  • Human factors and usability engineering studies to help inform for efficient end-to-end system development
  • Usability studies to gain deep understanding of how product will be used across its life cycle during surgery and help design a user interface for effective use and increased user experience and satisfaction
  • Interact with clinical key opinion leaders for surgery and help with clinical validation studies of intraoperative imaging system

Background: You would typically be enrolled in a medical or biomedical engineering degree programme.

Relevant expertise and interests: UI/UX studies, usability engineering, clinical studies, phantom development, upstream marketing, product management.

Marketing & Communications

Potential topics include:

  • Digital marketing strategy
  • Corporate communications
  • Newsletter development
  • Customer/stakeholder relationship management
  • Event management

Background: You would typically be enrolled in or graduated from a marketing, international business and economics, or economics and management degree programme.

Relevant expertise and interests: Digital marketing skills (e.g. Google Digital Garage), social media, public relations, search marketing & SEO, advertising, marketing campaign, email marketing, direct marketing, website, graphics design.

About us

Hypervision Surgical Ltd is a spin-out company formed from King’s College London and was founded by a team of clinicians, medical imaging and artificial intelligence (AI) experts. Based on safe light alone, our goal is to equip clinicians with advanced computer-assisted tissue analysis for improved surgical precision and patient safety.

We have developed a computational Hyperspectral Imaging (HSI) system for improved intraoperative surgical guidance. HSI is a safe optical imaging modality perfectly suited for the clinic. By splitting light into multiple wavelengths far beyond what the naked eye can see, HSI carries diagnostic information about tissue properties ideal for objective tissue characterisation. This will objectively enhance the surgeon’s ability to visualise and characterise tissue intraoperatively without injecting any toxic contrast agents. In addition, our system can monitor vital physiological tissue properties, thereby increasing surgical precision and patient safety while optimising resection.

Following successful in-patient clinical studies, we are now working on converting our patent-pending technology into a commercial medical device for surgery.

We are building our company at the intersection of surgery, machine learning and interventional image computing for optical systems to increase surgical precision and patient safety. We are backed by a highly experienced syndicate of European and American HealthTech investors, including the corporate venture arm of ZEISS, a multinational technology leader. In addition, we are supported by the British Royal Academy of Engineering, Innovate UK, NIHR (National Institute for Health Research), the Creative Destruction Lab, and King’s Health Partners MedTech Innovations to improve surgical care.

Come make an impact with us and help shape our story.

What we offer

  • We offer an opportunity to work at and shape a MedTech start-up uniquely positioned to develop next-generation technology for surgical guidance.
  • Our board includes serial entrepreneurs for MedTech companies in surgery and surgical robotics, including Martin Frost CBE, Founder and former CEO of CMR Surgical – a globally recognised unicorn in the field of surgical robotics, and we are supported by highly experienced European and American HealthTech VC investors. You will work closely with thought leaders in healthcare engineering to develop and scale an early-stage MedTech start-up.
  • As a King’s College London spin-out and member of the King’s MedTech ecosystem, we have key access to crucial resources for R&D and product development for surgery, including access to hospitals, a mock operating room, lab spaces, and computational facilities.
  • A 2-year clinical observational neurosurgery study involving 81 patients commenced in April 2022 and an investigational clinical study involving 40 patients at 3 UK centres for laparoscopic abdominal surgery is scheduled to commence in Q3 2023: Your work will directly impact the studies we run and the product we build.
  • Building on a highly multidisciplinary background (surgeons, computer scientists, mathematicians, biomedical engineers, regulatory affairs specialists, and KOLs for surgical healthcare technology) our team consists of world-leading experts in machine learning / AI for medical imaging, interventional imaging and medical devices for surgical guidance.
  • We pride ourselves on an environment at the intersection between industry, academia and hospitals that cultivates curiosity, creativity and autonomy to develop innovative technologies for the patient and public benefit.
  • We offer flexible working arrangements, including flexible hours and remote working.
  • We are committed to growing our employees and offering equal opportunities for advancement.


To apply, send your CV and Cover Letter to [email protected]. Describe your preferred topic for the internship and detail how your knowledge, skills, and abilities make you a suitable candidate.