Quantitative Research Engineer
7 days ago
As a Quantitative Research Engineer at Northwestern Medicine, you will be responsible for developing impactful technology leveraging AI, automation, and advanced cyber controls to support digital transformation strategies. Your key responsibilities will include:
• Implementing advanced technologies in clinical and administrative areas
• Furthering the development of the end-user support model to enhance modern infrastructure
• Designing software and hardware solutions in a team-based environment
Requirements:
To be successful in this role, you will need:
• A Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field
• Experience working directly in software development, ML/AI, or a healthcare-related field
• Comfort meeting with a range of technical and clinical staff
• Ability to manipulate a broad range of data types (e.g., text, 2D images, time series data)
• Traditional ML techniques (gradient descent, decision trees, etc.)
• High-level machine learning APIs (PyTorch, JAX, TensorFlow)
• Design and optimization of data pipelines
• Python (or a similar Object-Oriented language) or C
Preferred Qualifications:
A Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field, or an advanced degree in a related field, is preferred. Additionally, experience with a range of data types and manipulations, multimodal unstructured data, and understanding of how to write optimized data queries (SQL, NoSQL, legacy formats) is highly desirable.
About Northwestern Medicine:
Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation, or any other protected status.
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