1) Oversee Data Coordinatorâ™s management of LENA recordings, videos, and other primary data sources.Â
2) Supervise contribution of specialized Student Research Assistants to prioritize analyses and projects.
3) Develop and maintain systems to ensure quality.
4) Ensure secure data storage, guaranteeing regular backups and storage in compliance with HIPAA and study requirements.
5) Develop processes and protocols to automate or streamline the creation, cleaning, and preparation for analysis of data sets.
6) At the direction of the Director of Research Operations, project manage the research, development, planning, and execution of a comprehensive enterprise architecture for TMW Center that meets current and future anticipated needs for data capture and analysis.Â
7) 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.
8) Standardize REDCap 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 REDCap projects to support the project/study in a manner that is consistent across TMW Center studies (i.e. standardized variable names, quality check procedures, etc).
9) 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.
10) Develop language analysis procedures and protocols to further analysis of TMW Center study data (eg: refine transcription/coding processes, establish protocols).
11) Develop scripts and code for analyses.
1) Ability to handle multiple tasks and assignments simultaneously.
2) Problem-solving skills, including a strong ability to prioritize.
3) Excellent verbal and written communication skills.
4) Proven ability to establish and stick to timelines.
5) Excellent organizational skills, including strong attention to detail.
6) Knowledge of university and research-related regulatory policies and procedures, including IRB procedures.
7) Ability to train others.
8) Initiative and independent judgment.
1) Knowledge in a relevant scientific field, including research techniques or methods.
2) Experience in developmental psychology, linguistic, applied public health, or similar research labs.
1) Proficiency in R, Ruby, Python, SQL, Visual Basic for Applications (VBA).
2) Experience with data visualization tools such as Tableau for full-stack data analysis, insight synthesis, and presentation.
3) Experience with cloud resources such as Amazon Web Services (including AWS Redshift, Amazon RDS, and Amazon Aurora).
4) Experience with large scale analytics technologies such as Hadoop and Spark.
5) Experience with managing a large-scale Extract Transform Load (ETL) project.
6) Experience with Datavyu or Microsoft SQL Server.
2) Cover Letter
3) Research Statement
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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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.