Clinical Research Data Specialist

Academic Staff – Regular position in the Department of Orthopedics and Rehabilitation, School of Medicine and Public Health.

About the role

The Department of Orthopedics and Rehabilitation is seeking a Clinical Research Data Specialist to assist in database development and management of multiple clinical and research databases. This position will primarily support clinical departmental databases, centralizing data efficiently and accurately, and preparing datasets for analysis. Responsibilities include developing standard operating procedures for data entry, quality assessments, and exporting for analysis. The role also involves creating, maintaining, and analyzing research databases for prospective studies, with a focus on the Badger Athletic Performance program, patient-reported outcome data, and electronic medical record data.

A successful candidate will have experience working with large clinical datasets in a research setting. Familiarity with the research process, including data collection and preparation for analysis, is preferred. This position requires onsite work at a designated campus location.

Responsibilities

• Develops, constructs, tests, and maintains architectures for large-scale data management and analysis.
• Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research.
• Selects appropriate technologies and optimizes pipelines for performance.
• Organizes data preparation and analysis steps into reproducible pipelines for automated processing of similar datasets.
• Implements data analysis steps in collaboration with data scientists, statisticians, and other researchers, using technologies that support data at scale.
• Prepares datasets for current and future analysis, including cleaning, quality assurance, transformations, restructuring, and integration of multiple data sources.
• May supervise day-to-day activities of staff and resolve routine personnel issues.

Qualifications

• Bachelor’s degree (required minimum); Master’s degree in Bioinformatics, Clinical Informatics, Data Science, Data Engineering, or a related field (highly preferred and given first consideration).
• Experience working with large clinical datasets in a research setting.
• Demonstrated experience with data management software, including REDCap and Excel (strongly preferred).
• Familiarity with coding languages such as R, Python, or Matlab (helpful but not required).
• Experience building REDCap databases (preferred).
• Experience working with data obtained from clinical settings (preferred).

Benefits

• Generous vacation, holidays, and sick leave.
• Competitive insurance and savings account options.
• Retirement benefits.

Pay

Starting salary is $62,000 annually, negotiable based on experience and qualifications.