SimBioSys ( is seeking an exceptionally talented Deep Learning Scientist to work on one of the most important challenges in medicine - improving outcomes in Cancer. SimBioSys is a technology company on a mission to deploy Computational Oncology to transform decision making and patient experience in Cancer Care. By virtualizing cancer, clinicians and patients are empowered with a better understanding of the disease and can assess all available options computationally to truly individualize treatment.

We are seeking candidates who can contribute to the research and development of convolutional neural network (CNN) based methods for the analysis of medical imaging . The work will involved development of state of the art models to virtualize tumors and develop insights using in simulation and prediction algorithms.

The position will require you to design and drive projects and work closely with team members and clinicians to solve existing problems and will include managerial duties over junior team members. Fostering your analytical, biological, and computational skills, this position will provide you real world experience solving problems, while allowing you to contribute to the fight against cancer.

Requirements and Qualifications

  • M.S. or Ph.D. degree in Computer Sciences Bio/biomedical engineering, Bioinformatics, or a related degree
  • Proficient in Keras (Tensorflow) or PyTorch
  • Experience with deep neural networks (CNN or other deep networks)
  • Experience with medical imaging (MRI, CT, PET, etc.) and image segmentation
  • Excellent written and verbal communication skills
  • Strong background in statistics
  • Ability to work independently and as part of a team to meet project goals

Desired Qualifications

  • Prior experience with anatomy and physiology of cancer
  • Prior coursework in Radiomics