Nightingale Open Science, a nonprofit start-up embedded within the University of Chicago Booth’s Center for Artificial Intelligence, is seeking a data analyst with an interest or background in medical data work for a full-time position.
The digitization of medical records offers the opportunity to truly understand and improve the life and death decisions that providers and patients make every day. These data are generated by patients and interpreted by clinicians, but there is evidence that machine learning may be valuable in assisting in expanding our knowledge of medicine. We are interested in modeling cardiology data such as electrocardiogram waveforms and free text echocardiogram reports to improve our understanding of patient outcomes.
We’ve created a robust set of partnerships with several health systems, and are in various stages of executing research projects and crafting curated datasets for the platform. Specifically, dataset curation focuses on linking imaging data (ECGs, x-rays, CT scans) to long term outcomes around critical clinical questions (i.e., what can an ECG tell us about future cardiac arrest? Can we link biopsy slides to long term outcomes to gain insight into cancer’s progression?). As we move into the data curation phase with many of these partners, we’ll be taking a hands-on role in the data cleaning and linking process. As such, we need the expertise of a data analyst with a background or interest in health who can help our team clean, link, and test the data, and help move it onto our platform.