Job Description
The Senior Data Scientist 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.
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:
- Enabling digital solutions by leveraging capabilities such as AI, automation, and rollout of advanced cyber controls that support digital transformation strategies
- Implementing advanced technologies in clinical and administrative areas
- Further develop end user support model to help enhance modern infrastructure
Responsibilities:
- As a leader on the Data Science team, you will work with stakeholders to design, build, and evaluate solutions to business and clinical problems within the organization. You will use data, statistics, and machine learning tools to construct solutions that meet the requirements of the problem and deliver those solutions to make a tangible impact. We do not just build models; we collaborate with experts to understand and solve problems. Bring a product mindset to a technical field to design solutions that deliver value and can be maintained. Help train the rest of the team to have that same mindset.
- This role is dedicated to the Canning Thoracic Institute and will conduct research and development as well as prototyping advanced technology solutions to enhance medical training, improve quality of care, and enable timely interventions for pulmonary and thoracic patients.
- Contribute to the development of advanced technologies that enable the use of medical data across a variety of disciplines and modalities (e.g., lung sounds gathered from digital stethoscopes, electrocardiogram waveforms, videos of the airways (bronchi) in the lungs, CT imaging, clinical notes, etc.)
