Research Data Analyst I

University of Miami; Miami (FL); On-site; USD 55,000 - 75,000; Full time

Benefits offered by this job

Comprehensive benefits package

Job summary

The University of Miami/UHealth Department of Medicine invites applications for a Full Time Research Analyst 1 to support data preparation, statistical analysis, and results summaries across multiple research projects on the UHealth Campus.

The role involves data analysis, data source identification, report verification, and presenting findings. Strong coding experience (SAS/R/Python) and ability to adapt to evolving priorities are required.

Qualifications

• Bachelor’s degree in a relevant field required.
• Minimum 1 year of relevant experience required.
• Experience with coding software packages (SAS, R, Python) and data preparation for data analysis and visualization.
• Ability to learn new procedures, technologies, and adapt to changing priorities and work demands.

Responsibilities

• Analyzes data and interprets research findings.
• Identifies appropriate data sources to conduct and execute analyses.
• Verifies accuracy and internal consistency of reports, including required state and federal reports.
• Ensures proper technical documentation and preparation of tabular and written reports and gives oral presentations.
• Completes surveys and reports, discipline-specific accreditation, and admission and grant proposals.
• Provides feedback and assistance on honing conclusions and recommendations into actionable findings.
• Adheres to University and unit-level policies and procedures and safeguards University assets.

Skills

SAS

R

Python

Learning Agility

Teamwork

Technical Proficiency

Communication

Education

Bachelor's degree in a relevant field

Tools

RedCap

Qualtrics

Excel

Job description

The University of Miami/UHealth Department of Medicine invites applications for a Full Time Research Analyst 1 to support data preparation, statistical analysis, and results summaries across multiple research projects on the UHealth Campus.

The role involves data analysis, data source identification, report verification, and presenting findings. Strong coding experience (SAS/R/Python) and ability to adapt to evolving priorities are required.