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Senior Data Scientist - Chicago Illinois
Company: The University Of Chicago Location: Chicago, Illinois
Posted On: 01/23/2025
Preferred CompetenciesDepartmentBSD MED - Pulmonary - Parker Research StaffAbout the DepartmentThe Section of Pulmonary and Critical Care Medicine has been a model of exemplary patient care, research, and post-doctoral training for more than 20 years. The 30 faculty, clinical associates, and research associates along with a staff of more than 72 have devoted themselves to the pursuit of excellence in each of these important activities.Job SummaryThe Senior Data Scientist will work in collaboration with Dr. Parker, a medical ethicist and health services researcher who studies the allocation of scarce medical resources. He is specifically interested in absolute scarcity problems, where demand greatly exceeds supply, and healthcare systems cannot avoid triage scenarios. He applies advanced empirical methods to evaluate and design allocation systems according to the underlying ethical principles. His current projects focus on deceased donor organ allocation, critical care/ventilator rationing under crisis standards of care, and COVID-19 vaccine allocation.In collaboration with Dr. Parker, the Senior Data Scientist will participate as a skilled individual contributor and/or lead researcher, contributing his/her high-level expertise to each project's development. The position will focus on the development and execution of complex data analyses and modeling projects. Databases include electronic health record datasets and national transplant registries.Responsibilities - Data cleaning and management. Prepares analytic datasets using data analysis software (E.g. R tidyverse packages, Pandas for Python) from electronic health care record data sets.
- Follows the standards of transparent and reproducible data science including use version control software such as git and code with a literate programming style.
- Anticipates data management needs, including identifying when data pulls will be necessary and obtaining newer versions of source national datasets.
- Data visualization with appropriate statistical software, such as the ggplot2 package in R.
- Fits complex statistical models with appropriate statistical software, such as R or Stata. Trains, tunes, and tests machine learning prediction models with appropriate statistical software, such as scikit-learn, tensor flow, or pytorch packages.
- Investigates and applies new data science methodologies to projects.
- Reports results of data analysis, prepares figures and tables.
- Draft and revise manuscripts for submission.
- Prepares grant proposals.
- Supervise medical students and other junior trainees.
- Runs weekly lab meetings and serves as point of contact for trainees and collaborating data scientists.
- Present research findings at meetings. Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
- Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
- Guides staff or faculty members in defining the project and applies principles of data science in manipulation, statistical applications, programming, analysis, and modeling.
- Performs other related work as needed.Minimum QualificationsEducation: Minimum requirements include a college or university degree in related field.Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.Certifications:---Preferred QualificationsEducation:
- Advanced degree in statistics/epidemiology/computer science or related field.Experience:
- Experience with electronic health record data.Preferred Competencies
- Knowledge of regulatory policies and procedures.
- Understanding of electronic health care record data.
- Analytical skills.
- Problem-solving skills.
- Attention to detail.
- Organizational skills.
- Superior verbal and written communication skills.
- Work independently and as part of a team.Application Documents
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