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- Tasks: Design and implement machine learning frameworks for surgical guidance technology.
- Company: Join a MedTech start-up focused on next-gen surgical guidance solutions.
- Benefits: Enjoy flexible hours, remote work options, and career growth opportunities.
- Why this job: Make a real impact in healthcare while collaborating with top experts in the field.
- Qualifications: MSc or PhD in relevant fields with strong machine learning and computer vision skills.
- Other info: Unique skills and diverse experiences are valued to enrich team dynamics.
The predicted salary is between 36000 - 60000 £ per year.
As a Research 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 technology by developing cutting-edge computational and machine learning methods for hyperspectral imaging data.
- Design and implement algorithms for 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 innovation by supporting patent filings and research publications.
- Work closely with software development and regulatory teams to 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.
Medical Imagining Research Scientist employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Imagining Research Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning and computer vision algorithms in your conversations. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest advancements in hyperspectral imaging and surgical guidance technology. Being able to discuss current trends and innovations in this field will show your passion and commitment to the role.
✨Tip Number 3
Network with professionals in the MedTech and surgical robotics fields. Attend relevant conferences or webinars to connect with potential colleagues and learn more about the company culture and expectations.
✨Tip Number 4
Prepare to discuss how you can contribute to fostering an inclusive and diverse team culture. Think of examples from your past experiences that illustrate your commitment to collaboration and diversity in a team setting.
We think you need these skills to ace Medical Imagining Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your MSc or PhD in Machine Learning, Medical Image Computing, or related fields. Emphasize your experience with machine learning and computer vision algorithms, as well as any relevant software packages like PyTorch and OpenCV.
Craft a Strong Cover Letter: In your cover letter, express your passion for developing computational frameworks and your commitment to innovation in medical imaging. Mention specific projects or experiences that demonstrate your analytical mindset and collaborative spirit.
Showcase Relevant Experience: Detail your experience with image quality improvement techniques such as noise reduction and image reconstruction. Provide examples of how you've applied these skills in previous roles or projects, especially in a clinical context.
Highlight Communication Skills: Since excellent oral and written communication skills are essential, include examples of how you've effectively communicated complex ideas in past roles. This could be through presentations, publications, or collaborative projects.
How to prepare for a job interview at Hlx Life Sciences
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and computer vision algorithms in detail. Highlight specific projects where you've implemented these technologies, especially in the context of medical imaging.
✨Demonstrate Collaboration Experience
Since this role involves working closely with a multidisciplinary team, share examples of how you've successfully collaborated with others in past projects. Emphasize your ability to communicate complex ideas clearly to both technical and non-technical team members.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling problems related to image processing, such as noise reduction or image reconstruction. This will showcase your analytical mindset and creativity.
✨Express Your Commitment to Diversity
The company values an inclusive team culture. Be ready to discuss how you can contribute to fostering diversity within the team, whether through unique skills, experiences, or perspectives that enhance collaboration and innovation.
