Data Scientist

** Department
* * BSD MED - Cardiology
** About the Department
** The Section of Cardiology was founded in 1950 and has a proud history. We are now charting a new course that will propel us to the forefront of cardiovascular medicine. The strength of the Section reflects the quality and dedication of its faculty, trainees, and support staff and is enhanced by the rich environment at the University of Chicago. The Section of Cardiology, within the Department of Medicine, is a highly collaborative workplace on the main campus of the University of Chicago.
** Job Summary
** The Section of Cardiology looking for a Data Scientist to work within the Dr. Kirk research lab in the Department of Medicine, Section of Cardiology.
** Responsibilities
* ** 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.
* 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.
** Minimum Qualifications
***
* Education:

** Minimum requirements include a college or university degree in related field.
*
* Work Experience:

** Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
*
* Certifications:

****--
- **** Preferred Qualifications
***
* Education:

*** Advanced degree.
*
* Experience:

*** Previous data science experience.
** Preferred Competencies
*** Excellent communication skills, orally and written.
* Create and deliver presentations.
* Develop and manage interpersonal relationships.
* Maintain a high level of alertness.
* Ability to multi-task successfully.
* Prioritize work appropriately and meet deadlines.
* Work autonomously, effectively, and collegially.
** 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
** Research
* * Role Impact
** Individual Contributor
** Scheduled*
* ** Weekly Hours
** 40
* * Drug Test Required
** No
* * Health Screen Required
** No
* * Motor Vehicle Record Inquiry Required
** No
* * Pay Rate Type
** Salary  
** FLSA Status
** Exempt  
** Pay Range**$70,000.00 - $The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
** Benefits Eligible
** Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the
** Posting Statement
** The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the Job seekers in need of a reasonable accommodation to complete the application process should call  or submit a request via 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…