Research Associate Social/Behavioral Sciences Intermediate

University of Michigan

Ann Arbor, MI

ID: 7078519
Posted: May 17, 2021
Application Deadline: Open Until Filled

Job Description

How to Apply
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Job Summary
This position is part of the Survey Research Operations (SRO) Design, Methodology, and Statistical Support (DMSS) unit at the University of Michigan’s Institute for Social Research, Survey Research Center. DMSS is responsible for sample design, paradata monitoring, weighting and imputation, and data analysis for a wide range of surveys. The unit also houses a program of methodological research to improve the cost-effectiveness and quality of survey estimates and offers internal statistical support to other SRO units.

The Research Area Specialist will be responsible for sample implementation, paradata monitoring, weighting and imputation, and data analysis in a supporting role on SRO sponsored projects. Other responsibilities may include management of data collection efforts, implementation of developmental initiatives and methodological research, as well survey design consultation.

More information about our organization can be found here:

Paradata analysis and reporting

Perform complex database queries and develop reports on data collection processes. Provide complex paradata exploration and analysis for internal and external clients. Expand tailored project reporting using complex paradata. Develop dashboards and similar tools to facilitate monitoring of sample performance.

Sample design, implementation, and processing

Support the SRO Sampling Operations in the implementation of complex sample designs on sponsored projects. Provide analysis of external data sources to inform design decisions. Implement and provide project documentation for post-survey processing steps including weighting, imputation of missing data, non-response and other post-survey adjustment.

Analysis and expanding survey methods

Provide methodological support on survey design, data collection, and analysis to researchers and other SRO units. Expand survey research methods and extend technical systems to achieve efficient collection and analysis of survey measures and uses of paradata. Collaborate with senior statisticians and staff from the Design, Methodology and Statistical Support Unit and other units to identify developmental initiatives to improve the cost-effectiveness and quality of survey processes and survey estimates. Assist in preparing research papers and manuscripts for publication and presentation at conferences and workshops.

Data Management

Implement procedures for organizing, classifying and reporting data during all phases of a project’s life-cycle; program recodes and derived variables necessary for quality control and monitoring of production; prepare and document final versions of complex datasets including cleaning, recoding, reformatting and outputting data as necessary for delivery to key stakeholders.

Special Assignments

Lead a project team on small and medium projects to meet deliverables on time and on budget. Define and manage project/task scope. Prepare project work plans and schedules in consultation with study staff and other members of the project team. Monitor scope, budget and timeline for developmental initiatives.

Required Qualifications*
Master’s degree in statistics, data science, survey methodology, biostatistics or quantitative social science.

Minimum 4-5 years of experience in survey design, implementation, or data analysis, including 1-2 years of experience in other areas of survey research or data collection (e.g. sampling, coding, data management and processing, application programming, analysis and methodology, geographic information systems, questionnaire design, data collection).

Demonstrated advanced statistical proficiency.

Demonstrated competency using R.

Demonstrated competency with at least one other statistical software package, such SAS, Python, Stata, or SPSS.

Strong communication skills.

Strong organizational skills, attention to detail and accuracy.

Ability to effectively monitor project scope, budget and timeline and to build and manage high-performing teams.

Ability to effectively collaborate with others in a highly team-based environment.


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