The Minnesota Longitudinal Study of Risk and Adaptation (MLSRA) is seeking a Senior Research Associate in Data Management and Analysis. The MLSRA is a large and complex landmark longitudinal study of human development including observational, self-report, teacher-report, parent-report, and biological data from the prenatal period through midlife. Together with other members of the Executive Committee, including past and current faculty PIs, the Senior Research Associate in Data Management and Analysis is charged with overseeing the planning and execution of new assessments of the cohort, management and facilitation of analysis of over 40 years of longitudinal data on the MLSRA, and development of policies and procedures related to the use, publication, and long-term archiving of data from the project.
Work of the Senior Research Associate in Data Management and Analysis is completed with minimal oversight but with guidance from faculty PIs, and with wide discretion to make daily operational decisions. This role requires the development of original solutions, often in the absence of clear standards as this study has been a pathfinding study in the field of human development. This position is currently limited to one year; funding beyond the first year is subject to availability.
Plan and Execute New Assessments (45%)
Grant writing (e.g., drafting analytic plan text) as a PI and/or Co-I to support the collection of new data from the MLSRA and archival of existing data
Incorporating with minimal oversight data from new assessments of the cohort and secondary coding of existing data into paper and electronic archives
Archiving and updating paper proposals from student and faculty collaborators and maintaining relevant record
Providing all students and faculty with access to fully vetted MLSRA data for proposals reviewed and approved by the executive committee of the MLSRA, including the provision of training of PIs and graduate student in the maintenance of data quality
Manage Longitudinal Data (45%)
Supervision of undergraduate students, graduate students, and post-doctoral scholars on coding and analysis projects, culminating in project publications. This includes taking the lead on such publications in areas of expertise.
Instruct and supervise new lab personnel (principally, undergraduate students, graduate students and post-doctoral scholars) in various lab technologies and techniques, appraising their outcomes and evaluating their performance.
Identifying and correcting errors in electronic databases based on consultation with paper archives
Supervising ongoing efforts to digitize paper-based archives of the MLSRA. This includes directing these efforts (as necessary with guidance from faculty PI) as well as hiring and firing undergraduates and others junior research associates involved in these activities
Maintaining participant contact records
Leading the archiving of code and datasets used to produce MLSRA publications and maintaining a database of all MLSRA publications
Should the MLSRA data and video archive need to be moved to swing space in the course of a planned new building project, take primary responsibility for the transition to new space and back to space earmarked for the MLSRA archive in the new building
Policies and Procedures Development (10%)
Proposing and justifying analytic methods and data collection and reduction systems, including taking the lead on driving the MLSRA’s approach to innovating in the area of data reduction and analysis. This notably will require interpretation of complex longitudinal data analyses and advising faculty PIs and graduate students on a range of research techniques, procedures, and results specific to longitudinal data analysis.
Attending and helping lead lab and executive committee meetings.
PhD in developmental psychology or similar
Substantial research experience managing longitudinal data
Extensive publication record in the area of social and emotional development, broadly construed
A demonstrable attention to detail
Previous experience working with the Minnesota Longitudinal Study of Risk and Adaptation (MLSRA)
Internal Number: 334853
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.