Cydar Medical innovates in the healthcare software space. We connect live images from the hospital operating rooms to the power of cloud computing. Our software guides physicians during complex endovascular procedures, which results in better outcomes for patients. Our product, Cydar EV, is used in innovative hospitals across Europe and United States, providing us with a stream of data, which we use to constantly improve our algorithms. Our solutions address real clinical needs, and we are motivated by seeing how our algorithms improve patients’ lives. We are pushing the boundaries of technology and user experience to deliver a product which is revolutionising keyhole surgery.
As the ideal candidate you will have a sound understanding of modern machine learning techniques. You will be passionate about applying these techniques to solve real-world problems; rigorous when prototyping and experimenting; and able to express your solutions in high quality code. As a member of the Science team at Cydar Medical, you will be expected to work collaboratively, sharing your ideas with others and learning new techniques and skills.
Please note that we are not working with recruitment agencies for this position. Unsolicited CVs sent by agencies will not be opened or acknowledged, and will not imply any acceptance of terms.