Northwestern Memorial Healthcare
Quantitative Research Engineer
Northwestern Memorial Healthcare, Chicago, Illinois, United States, 60290
Company Description
At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?
Job Description
The
Quantitative Research Engineer
reflects the mission, vision, and values of NM, adheres to the organization's 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 real-world problems that will work seamless with the end user.
Northwestern Medicine Information Services drives innovative, high-value 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 strategiesImplementing advanced technologies in clinical and administrative areasFurthering development of the end user support model to help enhance modern infrastructureResponsibilities:
Design software and hardware solutions in a team-based 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:
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field or Master's related to healthcare with some technical background.Experience working directly in software development, ML/AI, or healthcare related field.Excellent written and verbal communication skillsComfort 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.)High-level machine learning APIs (Pytorch, JAX, Tensorflow)Design and optimization of data pipelinesPython (or similar Object-Oriented language) or C.git/GithubContainers
Preferred:
Advanced degree in Computer Science, Engineering, Mathematics, Physics, or related technical fieldExperience 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
Low-level hardware programming (C, C++, Rust, assembly, Verilog/VHDL)Network design and infrastructureContainerization platforms and orchestration infrastructure (Docker, Kubernetes)Hybrid cloud infrastructure combining on-and-off 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 regulationApplied 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.
At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better healthcare, no matter where you work within the Northwestern Medicine system. At Northwestern Medicine, we pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, we take care of our employees. Ready to join our quest for better?
Job Description
The
Quantitative Research Engineer
reflects the mission, vision, and values of NM, adheres to the organization's 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 real-world problems that will work seamless with the end user.
Northwestern Medicine Information Services drives innovative, high-value 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 strategiesImplementing advanced technologies in clinical and administrative areasFurthering development of the end user support model to help enhance modern infrastructureResponsibilities:
Design software and hardware solutions in a team-based 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:
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field or Master's related to healthcare with some technical background.Experience working directly in software development, ML/AI, or healthcare related field.Excellent written and verbal communication skillsComfort 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.)High-level machine learning APIs (Pytorch, JAX, Tensorflow)Design and optimization of data pipelinesPython (or similar Object-Oriented language) or C.git/GithubContainers
Preferred:
Advanced degree in Computer Science, Engineering, Mathematics, Physics, or related technical fieldExperience 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
Low-level hardware programming (C, C++, Rust, assembly, Verilog/VHDL)Network design and infrastructureContainerization platforms and orchestration infrastructure (Docker, Kubernetes)Hybrid cloud infrastructure combining on-and-off 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 regulationApplied 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.