Computer Vision Intern (Academic Year) Here at Tempus we believe the greatest promise for the detection and treatment of cancer & other diseases lies in building a deep understanding of the interaction between molecular and imaging attributes and clinical treatment. We're on a mission to redefine how genomic and imaging data are used in a clinical setting. We are looking for computer vision interns who are passionate about the prospect of building the most advanced data platform in precision medicine. What youll do: You will be working with Tempus multidisciplinary team of physicians, cancer biologists, software engineers, and scientists to: Develop image analysis algorithms and deep learning architectures to solve exciting clinical problems Design and create a platform for medical image processing, analysis, and visualization Requirements: Working toward a master's or higher degree level in biomedical/electrical engineering, computer science, physics or related field Practical experience with image processing methods as well as building convolutional neural network Experienced with PyTorch or Tensorflow Familiarity with state of the art classification models (i.e. ResNet) as well as segmentation models (i.e. UNet) Quantitative training in machine learning and deep learning Proficiency in Python, C/C++, Java, or Javascript Preferred: Kaggle competition champ Experience with development/deployment tools (AWS, Git, Docker, Jenkins, etc) Knowledge of medical imaging modalities and whole slide images Understanding of anatomy, physiology, and imaging/radiation physics