Are you passionate about cutting-edge technology, AI, and the future of healthcare? We’re working on something extraordinary—developing an advanced digital health platform that enables precise body composition analysis from MRI scans. Our technology is transforming medical research and patient care, empowering clinicians and scientists with deeper insights into fat and muscle biomarkers.

Now, we’re looking for an exceptional Software Developer to help us build scalable, high-performance solutions that bridge the gap between AI, cloud computing, and real-world medical applications.

Why join?

• Be part of an innovative team – Work with experts in AI, imaging, and cloud computing to revolutionise healthcare analytics.
• Impact global healthcare – Your work will directly contribute to improving clinical research and precision medicine.
• Work at the intersection of technology and medicine – Collaborate with scientists, engineers, and medical professionals to develop game-changing solutions.
• Ownership & growth – We value autonomy, continuous learning, and innovation. Your ideas will help shape the future of medical imaging.

What you’ll do

• Develop and optimise cloud-based software for advanced medical image analysis.
• Work across a complex stack, including backend systems, databases, Linux-based client applications, and web-based interfaces.
• Collaborate with cross-functional teams to define, design, and implement new features.
• Ensure software quality through automated testing, continuous integration, and DevOps best practices.
• Contribute to medical image processing algorithms and AI-driven analysis.
• Maintain and enhance system security, performance, and compliance in a regulated environment.

What we’re looking for

• 2–3+ years of experience in software development.
• Proficiency in Python and experience with cloud-based software development.
• Knowledge of machine learning and its applications in image analysis.
• Experience working with web applications, relational databases, and IT security.
• Understanding of continuous integration, automated testing, and DevOps best practices.
• Ability to work in a fast-paced, multidisciplinary environment.
• A degree in Computer Science, Engineering, or a related field.