Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
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.Â
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.Â Create standard templates for new studies to support faster and higher quality launches of new projects.Â 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.Â Assist in the creation of study designs for new TMW Center studies.
Perform other related work as needed.
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.Â
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.
Bachelorâ™s degree in a related field
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
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
Cover Letter (required)
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Internal Number: JR10140
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.