University of Chicago Data Science, Sr. Analyst in Chicago, Illinois
Please make sure to read the job posting in its entirety as it reflects both the University roles and responsibilities, followed by the specific description.
22262 Computer Sci
About the Unit
The Center for Translational Data Science at the University of Chicago is seeking a Data Scientist to support a diverse range of research projects. Data Scientists work in a collaborative interdisciplinary team and play a critical role in analyzing data, developing software systems and applications, and in understanding user requirements in our translational data science projects. A person in this position, under the leadership of team or project leads, contributes to the design and implementation of algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; organizes, harmonizes, and analyzes data sets; uses various technologies to enable data visualization; and creates applications of general value to the project owners.
Responsible for all aspects of research projects and research facilities. Plans and conducts clinical and non-clinical research; facilitates and monitors daily activities of clinical trials or research projects. Directs engineering and technical support activities to develop and maintain tools and computational methods needed to gather and analyze data.
Career Track and Job Level
Conducts data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication. Implements foundational concepts of data computation, such as data structure, algorithms, parallel computing, simulation, and analysis. Utilizes knowledge in game theory, statistical quality control, exponential smoothing, seasonally adjusted trend analysis, or data visualization to gain insights, develop new strategies, and cultivate actionable business intelligence in diverse career tracks across the University.
P2: Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills. Builds knowledge of the organization, processes and customers. Solves a range of straightforward problems. Analyzes possible solutions using standard procedures. Receives a moderate level of guidance and direction.
The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects.
1) Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information., 2) 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., 3) 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., 4) 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., 5) Performs other related work as needed.
1) Interpreting data from multiple sources;
2) Developing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data visualization
3) Enhancing previously developed in-house open source data platforms, systems, applications and notebooks
4) Perform various types of analysis involving multiple data sets.
1) Strong skills in problem solving and quantitative/qualitative analysis.
2) Able to organize and prioritize work assignments to meet project needs.
3) Strong communication skills
4) Able to quickly comprehend requirements and assignments and then explain his/her solutions in both writing and speech.
1)**Bachelor’s degree, with a Master’s preferred, in one of the following fields: math, statistics, computer science, data science, physical science, or biological science.
1) Strong foundation in areas of statistics, mathematics, and computer programming.
2) Additional expertise in areas of data science, machine learning and related topics.
2) Cover Letter
3) List of three references
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
Education, Experience, and Certifications
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
Depends on Qualifications
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Remove from Posting On or Before
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.
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- Posted 30+ Days Ago
- Full time