Department
About the Department
Job Summary
The position will focus on the development and execution of complex data analyses and modeling projects. Most of the work will be done using existing national registry databases, so there will be comparatively less data cleaning and management than in a typical data scientist role. In collaboration with Dr. Parker, they will participate as a skilled individual contributor and/or lead researcher, contributing their high-level expertise to each project’s development.
The first specific role they will be tasked with is working with Dr. Parker to develop a deep learning prediction model for heart transplantation, as part of his National Institutes of Health (NIH) grant to create a novel heart allocation score. Future projects include simulating intensive care unit care rationing with electronic health record data and observational studies of the effects of vaccine distribution plans.
Responsibilities
Data cleaning and management.
Prepares analytic datasets using data analysis software (E.g. R tidyverse packages, Pandas for Python).
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 apply new data science methodologies to projects.
Reports results of data analysis, prepare figures and tables.
Draft and revise manuscripts for submission.
Prepares grant proposals.
Supervise medical students and other junior trainees.
Present research findings at meetings.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a college or university degree in related field.---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Advanced degree in statistics/epidemiology/computer science or related field.
Experience:
Experience with electronic health record data.
Technical Skills or Knowledge:
Experience with conducting data analysis with analytic software (Stata, R, Python, etc.), query design, and presentation of data.
Preferred Competencies
Knowledge of regulatory policies and procedures.
Analytical skills.
Problem-solving skills.
Attention to detail.
Organizational skills.
Verbal and written communication skills.
Work independently and as part of a team.
Application Documents
Resume (required)
Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Requires Compliance with University Covid-19 Vaccination Requirement
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
Employees must comply with the University’s COVID-19 vaccination requirements. More information about the requirements can be found on the University of Chicago Vaccination GoForward .
The University of Chicago is an Affirmative Action/ Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
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