Onsite Clinical Research Data Engineer

Universities of Wisconsin; Alabama; On-site; USD 62,000 - 71,000; Full time

Job summary

University of Wisconsin–Madison is seeking a Clinical Research Data Specialist within the Department of Orthopedics and Rehabilitation to assist in database development and management of multiple clinical and research databases. This role will primarily support clinical departmental databases and help centralize data efficiently, while preparing datasets for analysis.

It also involves developing SOPs for data entry, quality assessments, and exporting for analysis.

Qualifications

• Experience with large clinical datasets in a research setting.
• Experience building REDCap databases (preferred).
• Familiarity with data collection and preparing data for analysis.

Responsibilities

• Develops, constructs, tests, and maintains architectures for large-scale data management and analysis.
• Serves as an institutional subject matter expert and liaison to stakeholders regarding automated data management and analysis at scale for research.
• Selects appropriate technologies and optimizes pipelines for performance.
• Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically.
• Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers.
• Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources.

Skills

REDCap databases

Data management

Education

Bachelor's degree preferred

Master's degree preferred

Tools

REDCap

Excel

Job description

University of Wisconsin–Madison is seeking a Clinical Research Data Specialist within the Department of Orthopedics and Rehabilitation to assist in database development and management of multiple clinical and research databases. This role will primarily support clinical departmental databases and help centralize data efficiently, while preparing datasets for analysis.

It also involves developing SOPs for data entry, quality assessments, and exporting for analysis.