Epidemiology Data Scientist – Neuroimaging & Biomarkers

University of Wisconsin-Madison; Alabama; On-site; USD 60,000 - 88,000; Full time

Job summary

University of Wisconsin–Madison seeks an experienced research data analyst to support a vascular cognitive impairment study led by Dr. Michelle Caunca in Neurology.

You will manage, harmonize, and analyze highly complex longitudinal data using R, STATA, and SAS, and develop data systems and code for reproducible analyses. The role emphasizes prediction modeling, machine learning, and contributing to manuscripts and conference presentations.

Qualifications

• Experience analyzing complex cohort data in R, STATA, or SAS.
• Ability to apply established statistical methods and interpret results.
• Experience drafting manuscripts and presenting at conferences.
• Knowledge of causal inference or prediction modeling.
• Ability to write reproducible code and share workflows publicly.

Responsibilities

• Apply data science techniques to answer research questions and visualize patterns.
• Document approaches and prepare datasets for analysis.
• Create reproducible workflows and reports for researchers and admins.
• Organize and automate project steps for data prep and analysis.
• Contribute to manuscripts and presentations for stakeholders.

Skills

R

STATA

SAS

Data analysis

Team communication

Education

Master’s degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology

Tools

Reproducible code

Code review

Job description

University of Wisconsin–Madison seeks an experienced research data analyst to support a vascular cognitive impairment study led by Dr. Michelle Caunca in Neurology.

You will manage, harmonize, and analyze highly complex longitudinal data using R, STATA, and SAS, and develop data systems and code for reproducible analyses. The role emphasizes prediction modeling, machine learning, and contributing to manuscripts and conference presentations.