Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
Uses machine learning techniques to develop predictive models (including but not limited to image data).
Manipulates and analyzes geospatial data.
Programs in at least one of the C-family of languages (e.g., C/C++, Java, etc.).
Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources.
Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs.
Performs other related work as needed.
Masterâ™s degree or higher in data science, statistics or computer science.
Courses in linear and non-linear (e.g., logistic, Poisson, survival, etc.) regression models, as well as in other specialized statistical areas (e.g., spatial regression analysis, multi-level models, econometric models). Â
Experience working in an academic research environment.
Experience working with health care claims data, especially Medicare and/or Medicaid data.
Experience manipulating and analyzing scientific survey data.
Strong Python skills, including use of Pandas, Dask, machine learning (e.g., with TensorFlow or PyTorch) and web-based application/API development.
Strong skills in the use of high-performance and cloud computing for data manipulation and analysis, including Googleâ™s Compute Engine and AWS as well as software frameworks such as Apache Hadoop or Spark.
Strong statistical skills including model building, interpretation, treatment of missing data, and use of simulation to explore model properties.
Good writing skills, including both technical documentation and user guides.
Knowledge of data visualization principles and related software (especially in Python).
Solid working knowledge of other software packages used for data manipulation and analysis (e.g., R, Stata, Julia).
Strong Unix/Linux skills.
Cover letter (preferred)
Unofficial Transcript (upon request)
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.
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: 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.
Internal Number: JR09806
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.