Are you passionate about data science, medical imaging, and turning complex data into impactful visual stories? We’re looking for a Data Science & Visualisation Intern to join our team in Oxford for a 12 month fixed term internship. This is a unique opportunity to work at the intersection of machine learning, biomedical imaging, and visualisation, helping to transform complex clinical data into compelling, real-world applications. About the Role As a Data Science & Visualisation Intern, you’ll support the Data Science team in developing and applying cutting-edge machine learning techniques to medical imaging. You’ll play a key role in automating the creation of high-quality, marketing-ready clinical and CRO materials. Working closely with Biomedical Imaging Scientists and cross-functional teams (BD, Product, and Website), you’ll help build scalable visualisation pipelines and contribute to a future self-service platform for visual assets. You’ll gain hands-on experience with real-world data, cloud technologies, and advanced algorithms while contributing to meaningful healthcare innovation. Key Responsibilities Research and develop machine learning methods for medical image analysis Analyse large datasets using cloud platforms (e.g. AWS) Support development and validation of data science prototypes Collaborate with Imaging Science, Clinical, and Product teams Produce technical reports and algorithm documentation Stay up to date with advancements in machine learning and imaging Visualisation & Impact: Automate pipelines to generate marketing-ready medical visualisations Work with imaging experts to ensure anatomical accuracy and correct clinical messaging Support development of tools enabling non-technical teams to access visual assets Help improve speed and efficiency of delivering assets for time-sensitive external meetings About You Studying towards a STEM degree (e.g. Data Science, Bioengineering, Physics, Computer Science) Strong interest in machine learning, medical imaging, or applied data science Solid mathematical foundation and analytical mindset Experience with coding (e.g. Python, MATLAB) Excellent attention to detail and problem-solving skills Strong communication skills with both technical and non-technical stakeholders Self-motivated and able to work independently and collaboratively Although not essential, if you are familiar with machine learning techniques or deep loearining and have exposure to medical imaging or biomedical applications this would be advantageous. Equally if you have experience with Linux/Unix environments and familiarity with cloud platforms such as AWS. Azure, GCP then this would also help. If you're excited by data, driven by impact, and want to work on meaningful problems in healthcare and visualisation, we’d love to hear from you. At Perspectum, we are committed to fostering diversity, equity, and inclusion. We prioritise hiring based on merit, skills, and qualifications, valuing individuals for their unique contributions while ensuring a culture that respects and celebrates differences. If you require any reasonable adjustments as part of your application process, please let our Talent Team know.