Senior Data Scientist

University of Chicago

The prestigious University of Chicago's Department of Pulmonary and Critical Care Medicine boasts over 20 years of exemplary patient care, research, and training. This role is central to projects focused on the ethical allocation of scarce medical resources, involving complex data analyses and collaboration with Dr. Parker, a leading medical ethicist and researcher.

In this role you can expect to have the responsibilities:

• Prepare and manage analytic datasets using R and Python packages like tidyverse and Pandas.
• Apply and adhere to principles of transparent and reproducible data science using version control like Git.
• Perform data visualizations using statistical software such as R's ggplot2.
• Develop and test machine learning models with tools like scikit-learn and TensorFlow.
• Draft and revise research manuscripts and prepare grant proposals.
• Lead and participate in weekly lab meetings, guiding medical students and trainees.
• Present research findings and analyze complex datasets.

This role comes with the following benefits:

• Health, retirement, and paid time off benefits.

This role requires you to have:

• Proficiency in data analysis and visualization software like R and Python.
• Minimum of 5-7 years experience in a related field.

You would benefit from having:

• Advanced degree in statistics, epidemiology, or computer science.
• Experience with electronic health record data.

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans employer, not discriminating based on various protected classes. All employment offers are subject to background checks, and the community values rigorous inquiry and diversity.