Department BSD SUR - OHNS: Thirty Million Words About the Department The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children's cognitive and social-emotional development, with a priority placed on that of children living in poverty. TMW Center interventions are designed to be overlaid onto existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. Our goal is to effect population-level change in children's academic and developmental outcomes. Job Summary The Research Data Manager (on-site) oversees major aspects of data management, data systems, and operations at the center. Ensures protocols related to data generation and storage are secure, efficient, and compliant with regulatory standards. Works closely with the tech team and research teams to develop standardized and scalable solutions to accommodate and organize data influx from various projects and partnerships. Responsibilities * Builds technical support and data systems for research projects. Receives, manages, prioritizes, and executes strategies for data architecture, data preparation, and data access for different teams and projects across the TMW Center. * Develops processes to automate and streamline data preparation. Develops comprehensive planning for data availability tied to external priorities, such as publications, presentations, grant applications, and grant/funder reports. * Provides guidance for the development of data collection tools and creation of databases. * Works with Primary Investigator, CTO, and Director of Research to develop data management solutions in response to updated priorities and new projects. * Forecasts staff and technical resources needs related to data analysis to meet goals and timelines. * Manages the preparation of data according to the project plan to ensure timely availability of accurate, cleaned, and comprehensive data sets for analysis. * Provides technical guidance for research collaborations as needed. * Manages and supervises the work of other members of the TMW Center, including students. * Manages collaborators' and partners' access to TMW Center data, ensuring that data are shared safely and retained according to TMW Center's and University of Chicago's policies. * With moderate direction from others, analyzes the users' requirements and solves routine database problems that ensures users and related applications can access necessary data sets. * Defines and interprets existing data and populates the database with new data from external sources. Plans own resources such as documentation on data models, data dictionaries, physical database configuration, and daily database maintenance functions. * Participates in the development of queries and retrieval systems. * Monitors the database storage system used to securely store and organize datasets. * 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 Experience: * Experience with data analysis using Python and SQL. Preferred Competencies * Excellent organizational, quantitative, and analytical skills with sharp attention to detail. * Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field. * Superior interpersonal skills and the ability to work effectively with a wide range of individuals and constituencies in a diverse professional environment. * Ability to effectively manage a heavy workload, competing priorities, and tight deadlines. * Ability to adapt to changes in fast-paced work environment. * A quick, self-learner with ability to initiate, organize, prioritize and complete multiple, high-level projects; and work effectively with minimal supervision in a fast-paced environment. * Strong computer skills including ability to work with large data sets. * Ability to work both independently and as a team member. * Ability to train others. * Knowledge of REDCap. * Knowledge of University and research-related regulatory policies and procedures, including IRB procedures. Application Documents * Resume/CV (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 Information Technology Role Impact Individual Contributor FLSA Status Exempt Pay Frequency Monthly Scheduled Weekly Hours 40 Benefits Eligible Yes Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Posting Statement The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, 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 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. We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange. 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 case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. 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