Job Description:

Data Systems, Strategy, and Structure

• Develop and maintain all data storage/data management systems to ensure quality and completeness.
• Cleans, transforms, merges, and matches between large and complex research datasets.
• Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA, current best practices, and study requirements.
• Develop processes and protocols to automate or streamline the creation, cleaning, and preparation for analysis of data sets.
• At the direction of the Director of TMW Research, lead the research, development, planning, and execution of a comprehensive enterprise architecture for the TMW Center. In collaboration with other technical staff members, deploy a system that meets current and future anticipated needs for data capture and analysis. 
• Keep abreast of broader tech and data systems landscape and best practices; secure and maintain needed certifications to ensure proper creation and maintenance of TMW Center data systems.
• Standardize data files and procedures.  Create standard templates for new studies to support faster and higher quality launches of new projects.  Partner with new project leads to build data systems to support the project/study in a manner that is consistent across TMW Center studies (i.e. standardized variable names, quality check procedures, etc).
• Organize data across studies by creating centralized catalog of measures, study decision logs, study and other training manuals.  Assist in the creation of study designs for new TMW Center studies.
• Perform other related work as needed.

Research Analyses

• Develop language analysis procedures and protocols for further analysis of TMW Center study data (e.g. refine transcription/coding processes, establish protocols).
• Develop scripts and code for analyses. 
• Supervise contributions of specialized Student Research Assistants to priority analyses and projects.
• Analyze moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• 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.

Preferred Qualifications:

Education:

• Bachelorâ™s degree in a related field

Experience:

• Experience with data visualization tools such as Tableau for full-stack data analysis, insight synthesis, and presentation
• Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora)
• Experience with large-scale analytics technologies such as Hadoop and Spark or Dask
• Experience with Datavyu, Python or Microsoft SQLServer
• Experience in developmental psychology, linguistic, applied public health, or similar fields

Preferred Competencies

• Ability to handle multiple tasks and assignments simultaneously
• Problem-solving skills, including a strong ability to prioritize and collaborate
• Excellent verbal and written communication skills
• Excellent organizational skills, including strong attention to detail
• Knowledge of university and research-related regulatory policies and procedures, including IRB procedures
• Ability to train others
• Initiative and independent judgment

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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