Research Data Analyst

Vanderbilt University Medical Center•Nashville, TN

About The Position

The Research Data Analyst supports complex qualitative and quantitative research initiatives in health policy, public health, or related disciplines, working with occasional guidance. The role applies intermediate research and analytical skills to manage and analyze large datasets, prepare decision-ready reports, and support proposals and projects through budget and schedule coordination. The analyst participates in the design, coordination, and conduct of research projects; collaborates with internal and external team members; manages and analyzes complex datasets using statistical and data programming skills; and summarizes and interprets complex analyses. The position also prepares materials and drafts technical sections of presentations and written documents. The role is within Vanderbilt’s Department of Biomedical Informatics, which conducts research and development in clinical, computational, translational, and other areas of informatics. The schedule is Monday through Friday during traditional business hours. The position is available 100% remote or as a remote-hybrid arrangement, with an office located at 2525 West End Ave. in Nashville, Tennessee.

Requirements

Master’s degree or equivalent experience.
At least 2 years of relevant experience.
Scientific writing experience.
Experience working with EHR data, claims data, or other large-scale biomedical datasets.
Intermediate research and analytical skills.
Experience managing and analyzing large datasets.
Advanced statistical and data programming skills; examples listed include SAS, Stata, and R.

Nice To Haves

Experience building and evaluating machine learning models.
Experience working with large language models (LLMs).

Responsibilities

Use quantitative research methods to participate in the design, coordination, and conduct of research projects.
Foster collaboration between team members inside and outside the department.
Manage and analyze data using advanced statistical and data programming skills, such as SAS, Stata, or R.
Summarize and interpret complex analyses.
Manage large and/or complex datasets and apply data modeling expertise.
Prepare materials and draft technical sections of presentations and written documents.
Clean and prepare data for analysis; conduct quantitative analyses and interpret results.
Prepare reports and deliverables, including data summaries and visualizations.
Support proposal and project execution through budget and timeline tracking.