Job Description

Job Description:

• Data-analysis of existing high-dimensional data sets which include cluster analysis, dimensionality reduction (e.g., PCA), and supervised machine learning to link biological specimen measurements (cytokines, microbiome measurements) to ICU clinical outcomes.

• Streamline extraction of clinical data from the electronic health record to a common format for clinical trial and observational study participants

• 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.

• 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.

Preferred Qualifications

Education:

• Advanced degree in statistics/epidemiology/computer science or related field.

Experience:

• Experience with electronic health record data and discrete-event simulation.

Preferred Competencies

• Knowledge of regulatory policies and procedures.

• 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

• Resume (required)

• Cover Letter (required)

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 the Applicant Inquiry Form.

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About University of Chicago (UC)

One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.

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