The mission of the Institute for Augmented Intelligence in Medicine (I.AIM) is to bridge computational methods with human expertise to advance medical science and improve human health. We aspire to be the premier academic institution applying augmented intelligence to human health. The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science. The successful candidate will join a dynamic research environment in the Chicago downtown medical campus and a highly collaborative research team.
The following position is currently open at the Institute for Augmented Intelligence in Medicine.
I.AIM is seeking a highly motivated individual to work in the area of data science and biomedical informatics as a technical and content lead with a special focus on data integration and quality and asset based community development.
The Solutions Engineer will work with the I.AIM central team to implement a data strategy for the Feinberg School of Medicine and will be responsible for coordinating the activities of their project and generating data. Additionally, this role will support:
- The inventory data pipeline project of the People, Processes, and Resources across Northwestern and Northwestern Medicine that support data intensive projects, including process mapping of the current state
- The creation of working groups within Northwestern focused on developing efficient access to domain-specific data assets such as: Cardiology, Radiology, Dermatology, Ophthalmology
- Raising awareness of I.AIM through leading, participating and supporting publications and presentations of data intensive research projects and use of advanced analytics
- Leading Ph.D. students
The ideal candidate is someone driven by the opportunity to lead projects and the flexibility to work on a diversity of projects with future ambitions in either academia or industry. Prior experience with EHR data and data standards or a related field is preferred.
Successful candidates must have excellent oral and written communication skills and must be self-driven with the ability to work in a team environment. The position requires excellent organizational skills and research independence.
Interested candidates should include their full CV, a cover letter briefly stating their career goals, specific research experience and areas of interest, and contact information of three references in their application.