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Machine Learning Scientist
Cell Imaging
Posted on 8/17/2022
INACTIVE
Locations
Wrigleyville, Chicago, IL, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Computer Vision
Data Science
Data Structures & Algorithms
Docker
Google Cloud Platform
Hadoop
Git
Keras
Pytorch
Research
Tensorflow
Python
Requirements
  • BS or MS in computer science, biomedical engineering, or any quantitative field with a strong machine learning background
  • Breadth and depth knowledge of machine learning algorithms and best practices with an emphasis on computer vision models
  • Strong coding skills, Python preferred. Experience with version control (GIT) and collaborative software development and testing
  • Experience working with Docker containers and cloud-based compute environments (e.g., AWS or GCP)
  • Knowledge of best practices for code development, documentation, testing and deployment patterns
  • Strong team player and effective cross-team collaborator
Responsibilities
  • Build and deploy robust, industrial scale machine learning models and data pipelines for structured and unstructured data
  • Develop and deploy scalable tools and services to handle machine learning training and inference
  • Facilitate end-to-end large scale machine learning model integration
  • Collaborate with product, science, engineering, and business development teams to build the most advanced data solutions in precision medicine
  • Research and develop next generation computer vision models to advance the state-of-the-art in high throughput microscopy
Desired Qualifications
  • Experience with optical microscopy image analysis
  • Experience building and deploying containerized applications and services
  • Good familiarity with deep learning frameworks: PyTorch, TensorFlow, Keras
  • Previous experience in the healthcare sector
  • Experience with Big Data technologies such as AWS, Hadoop, Spark etc
Tempus

1,001-5,000 employees

Data-driven precision medicine
Company Overview
Tempus is on a mission to provide the necessary tools to usher in an era of precision medicine. The company has built the world's largest library of clinical and molecular data and an operating system to make that information accessible and useful for patients, physicians, and researchers.