AI Research Engineer

2 weeks ago

Chicago, Illinois, United States Northwestern Medicine Full time

Position Overview

The Quantitative Research Engineer embodies the mission, vision, and values of Northwestern Medicine, adhering to the organization's Code of Ethics and Corporate Compliance Program, while complying with all relevant policies, procedures, guidelines, and regulatory standards.

This role focuses on the development of impactful technologies aimed at addressing real-world challenges, ensuring seamless integration with end-user requirements.

Northwestern Medicine Information Services is dedicated to driving innovative, high-value solutions that transform healthcare. Our commitment lies in supporting the relentless pursuit of improved medical practices by delivering exceptional service to patients, guests, and internal stakeholders. Our team goes to great lengths to ensure that our systems operate cohesively.

Recognizing the integral role of technology in shaping the future of healthcare, Information Services strategically supports the organization by:

  • Utilizing AI, automation, and advanced cybersecurity measures to facilitate digital transformation initiatives.
  • Implementing cutting-edge technologies across clinical and administrative domains.
  • Enhancing the end-user support model to bolster modern infrastructure.

Key Responsibilities:

  • Design and develop software and hardware solutions within a collaborative team environment.
  • Engage closely with end-users to refine and enhance workflows.
  • Stay abreast of the latest development tools, programming methodologies, and computing technologies; actively participate in educational opportunities and review professional literature.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline, or a Master's degree in a healthcare-related field with a technical background.
  • Experience in software development, machine learning/artificial intelligence, or a healthcare-related sector.
  • Exceptional written and verbal communication abilities.
  • Comfortable interacting with a diverse range of technical and clinical personnel.
  • Proficiency in:
    • Handling various data types (e.g., text, 2D images, time series data)
    • Traditional machine learning techniques (e.g., gradient descent, decision trees)
    • High-level machine learning frameworks (e.g., Pytorch, JAX, TensorFlow)
    • Designing and optimizing data pipelines
    • Programming in Python (or similar Object-Oriented languages) or C.
    • Version control systems (e.g., git/GitHub)
    • Container technologies

Preferred:

  • Advanced degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field.
  • Experience with diverse data types and manipulations:
    • Multimodal unstructured data (text, 2D images, video, 3D/4D tomographic imagery, waveforms, time series, sparse data)
    • Proficiency in writing optimized data queries (SQL, NoSQL, legacy formats)
  • Expertise in machine learning/artificial intelligence tools and methodologies:
    • Optimization for training (distributed and others) and inference (ONNX)
    • Deep learning architectures (e.g., transformers, convolutional neural networks, recurrent neural networks)
  • Design and optimization of high-throughput data pipelines and computing infrastructure:
    • Low-level hardware programming (C, C++, Rust, assembly, Verilog/VHDL)
    • Network design and infrastructure
    • Containerization platforms and orchestration (e.g., Docker, Kubernetes)
    • Hybrid cloud infrastructure integrating on-premises and off-premises high-performance computing.
    • Data and infrastructure security
  • Domain-specific tools:
    • Weights & Biases/Tensorboard, unit testing methodologies, management of extensive codebases.
    • Ability to thoroughly document solutions, including diagrams and charts.
    • Integration of codebases with standardized documentation platforms (e.g., Sphinx)
  • Healthcare experience:
    • Familiarity with healthcare data (PHI/HIPAA, HL7 FHIR)
    • Understanding of FDA regulations
    • Applied clinical experience.

Equal Opportunity Statement

Northwestern Medicine is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment based on age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation, or any other protected status.

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