At a Glance
- Tasks: Design and implement cutting-edge algorithms for surgical guidance using machine learning and imaging data.
- Company: Join a pioneering MedTech start-up transforming the future of surgery.
- Benefits: Flexible working hours, remote options, and access to top resources for R&D.
- Other info: Collaborate with leading experts in a dynamic, inclusive environment.
- Why this job: Make a real impact on patient care and surgical precision with innovative technology.
- Qualifications: MSc or PhD in relevant fields and experience with machine learning algorithms.
The predicted salary is between 36000 - 60000 £ 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 our 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 clinical engagement.
- 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.
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 and development of a commercial medical device, we are excited to now place our patented technology into the hands of surgeons. 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.
A bit about you:
- MSc or PhD in Machine Learning, Medical Image Computing, Computer Vision, or related technical discipline.
- Good knowledge of machine learning and computer vision algorithms.
- Familiarity with real-time imaging pipelines.
- Experience with scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit's, 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:
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. Our offices are located in the vibrant LIHE centre, established in 2024 to drive the advancement of new medical technologies in the UK.
A 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 Q1 2025: Your work will directly impact the studies we run and the products 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.
Research Scientist employer: Hypervision Surgical Ltd
At Hypervision Surgical, we pride ourselves on being an innovative employer at the forefront of medical technology, offering our Senior Machine Learning Engineers the chance to make a tangible impact on patient care. Our inclusive work culture fosters collaboration and growth, with access to cutting-edge facilities at St Thomas’ MedTech Hub and opportunities for equity participation. With a strong commitment to employee wellbeing and a supportive environment, we empower our team to thrive both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the MedTech field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and medical imaging. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to research and development in MedTech. We want to see how you think on your feet and tackle real-world problems!
✨Tip Number 4
Don’t forget to 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 our team at Hypervision Surgical.
We think you need these skills to ace Research Scientist
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let your curiosity shine through! Share examples of how you've tackled challenges in the past and what drives your passion for research. We love candidates who are eager to learn and grow with us.
Tailor Your Application:Make sure to customise your application to highlight your relevant skills and experiences. Mention specific projects or technologies that align with our work in machine learning and medical imaging. This shows us you’re genuinely interested in the role!
Be Clear and Concise:Keep your writing clear and to the point. Use straightforward language to explain your experience and ideas. We appreciate well-structured applications that make it easy for us to see your qualifications and potential contributions.
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 gives you a chance to explore more about our company and culture.
How to prepare for a job interview at Hypervision Surgical Ltd
✨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, especially in relation to hyperspectral imaging data. This will show your technical expertise and how you can contribute to their innovative projects.
✨Showcase Your Creativity
Prepare examples of how you've approached problem-solving in a creative way. Hypervision Surgical values curiosity and innovation, so think of instances where you developed unique solutions or improved existing processes. This will highlight your fit for their dynamic environment.
✨Communicate Clearly
Since excellent communication skills are essential, practice explaining complex concepts in simple terms. You might be asked to present your past work or ideas, so ensure you can articulate your thoughts clearly and confidently, making it easy for non-experts to understand.
✨Emphasise Teamwork
Be prepared to discuss your experience working in multidisciplinary teams. Highlight how you’ve collaborated with others, particularly in research or software development settings. This will demonstrate your ability to thrive in their inclusive and collaborative culture.
