Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We are looking for Computer Vision / Deep Learning Scientist who are passionate about the prospect of building the most advanced data platform in precision medicine.
What You'll Do
Research and development of novel imaging data based machine learning algorithms for the product platform
Apply statistical and machine learning methods to analyze large, complex data sets
Communicate highly technical results and methods clearly
Interact cross-functionally with a wide variety of people and teams
PhD degree in a quantitative discipline (e.g. statistics, statistical genetics, imaging science, computational biology, computer science, applied mathematics, applied physics or similar) or equivalent practical experience
Experience developing, training, and evaluating deep-learning models using public deep learning frameworks (e.g. PyTorch, TensorFlow, and Keras)
Experience developing, training, and evaluating classical machine/deep learning models, such as, SVMs, Random Forests, Gradient Boosting, CNN, FCN, ResNet, GAN, etc.
Familiar with CUDA and GPU computing
Knowledge of different medical imaging modalities, such as DICOM formats and pathology images
Self-driven and work well in an interdisciplinary team with minimal direction
Thrive in a fast-paced environment and willing to shift priorities seamlessly
Nice to Haves
Kaggle.com competitions and/or kernels track record
Experience with AWS architecture
Experience working with survival analysis, clinical and/or genomic data
Experience working with Docker containers and cloud-based compute environments.