The Quantitative Research Engineer reflects the mission vision and values of NM adheres to the organizations Code of Ethics and Corporate Compliance Program and complies with all relevant policies procedures guidelines and all other regulatory and accreditation standards.
The Research and Development Engineer is responsible for developing technology that impactful. Focuses on solving realworld problems that will work seamless with the end user.
Northwestern Medicine Information Services drives innovative highvalue solutions to transform health care.
We are committed to supporting the relentless pursuit of better medicine by providing exceptional service to our patients and guests as well as internal clients across the organization. To ensure excellence our team goes to extraordinary lengths to ensure that our systems work together seamlessly.
Northwestern Medicine understands that technology plays an integral role in shaping the future of health care. Information Services strategically supports the organization by:
- Leveraging AI automation and rollout of advanced cyber controls that support digital transformation strategies
- Implementing advanced technologies in clinical and administrative areas
- Furthering development of the end user support model to help enhance modern infrastructure
Responsibilities:
- Design software and hardware solutions in a teambased environment.
- Working closely with the end user to support and improve workflows.
- Stay current on development tools programming techniques and computing equipment; participating in educational opportunities; reading professional publications.
Qualifications :
Required:
- Bachelors degree in Computer Science Engineering Mathematics Physics or related technical field or Masters related to healthcare with some technical background.
- Experience working directly in software development ML/AI or healthcare related field.
- Excellent written and verbal communication skills
- Comfort meeting with range of technical and clinical staff.
- Experience and proficiency with:
- Manipulating a broad range of data types (e.g. text 2D images time series data)
- Traditional ML techniques (gradient descent decision trees etc.)
- Highlevel machine learning APIs (Pytorch JAX Tensorflow)
- Design and optimization of data pipelines
- Python (or similar ObjectOriented language) or C.
- git/Github
- Containers
Preferred:
- Advanced degree in Computer Science Engineering Mathematics Physics or related technical field
- Experience with a range of data types and manipulations
- Multimodal unstructured data (text 2D images video 3D/4D tomographic imagery waveforms time series sparse data)
- Understanding of how to write optimized data queries (SQL NoSQL legacy formats)
- ML/AI tools and methods:
- ML/AI optimization for training (distributed and others) and inference (ONNX)
- Deep neural network architectures (transformers convolutional neural networks recurrent neural networks etc.)
- Design and optimization of high throughput data pipelines and computer infrastructure
- Lowlevel hardware programming (C C Rust assembly Verilog/VHDL)
- Network design and infrastructure
- Containerization platforms and orchestration infrastructure (Docker Kubernetes)
- Hybrid cloud infrastructure combining onandoff prem high performance computing.
- Data and infrastructure security
- Domain specific tooling
- Weights & Biases/Tensorboard unit testing methodologies management of large code bases.
- Ability to robustly document solutions including diagrams charts etc.
- Integrating code base with standardized documentation platforms (Sphinx)
- Healthcare
- Health care data experience (PHI/HIPAA HL7 FHIR)
- Familiarity with FDA regulation
- Applied clinical experience.
Additional Information :
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.
Remote Work :
No
Employment Type :
Fulltime