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 Junior Imaging Scientist who are passionate about the prospect of building the most advanced data platform in precision medicine.

What you’ll 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:

  • Bachelor 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:

  • Participates in Kaggle competitions
  • 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

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