Computer Vision Scientist
Chicago, IL

Job Description

Here at Tempus we believe the greatest promise for the detection and treatment of cancer and 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 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

Qualifications

* 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 learning models, such as linear and logistic regression, SVMs, Random Forests, and Gradient Boosting
* Familiar with CUDA and GPU computing
* Knowledge of different medical imaging modalities, DICOM formats, and/or 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.
* Familiarity with neural network techniques (batch-norm, residual connections, inception modules, etc).