What are the responsibilities and job description for the Research Data Integration Lead position at Institute for Research on Innovation and Science?
Job Summary
The Institute for Research on Innovation and Science (IRIS) in the Survey Research Center at the University of Michigan's Institute for Social Research is looking for a Research Data Integration Lead to lead data integration and documentation initiatives as part of IRIS's technical team, managing a small team focused on data linkage, documentation standards, and research support while collaborating closely with development and data teams. You will report to the IRIS Technical Director. This is a full-time hybrid role for a Research Data Integration Lead located in Ann Arbor, MI.
Responsibilities:
Technical Leadership and Data Integration (50%)
You'll drive IRIS's data integration strategy while ensuring alignment with broader technical infrastructure efforts. Specifically, you will:
- Lead IRIS's data linkage and disambiguation strategies
- Collaborate with other IRIS teams on technical solutions
- Contribute to overall technical strategy
- Direct quality assurance for linked datasets
- Design scalable data integration solutions
- Oversee implementation and adherence to metadata standards and documentation practices
- Manage dataset versioning/DOIs
Research Data Governance (30%)
You'll oversee documentation and governance practices, ensuring compliance with best practices and established ISR and IRIS data management policies. Specifically, you will:
- Direct documentation standards
- Manage data dictionaries
- Lead data release processes for the IRIS UMETRICS dataset
- Set governance policies
- Oversee IRIS UMETRICS dataset access in IRIS?s virtual data enclave
Team & Project Leadership (20%)
You will manage a small team of data science and research support staff while fostering integration and collaboration with the broader technical organization.
- Coordinate project planning
- Support team development
- Foster cross-team collaboration
- Participate in technical leadership initiatives
Required Qualifications:
- Master's degree in quantitative social science, data science, information science, computer science, or related field
- 5 years experience in data science/research computing
- Expertise in data linkage and disambiguation
- Strong programming skills (Python, SQL)
- Experience with unstructured data integration
- Technical project leadership and supervision experience
- Strong knowledge of metadata standards (e.g. DDI, Croissant)
- Data governance experience
Desired Qualifications:
- Probabilistic record linkage experience
- Text processing/NLP background
- Academic research environment experience
Salary : $95,000 - $105,000