Biomedical Data Scientist — Neuroepidemiology & Biomarkers

University of Wisconsin; Madison (WI); Hybrid; USD 60,000 - 88,000; Full time

Benefits offered by this job

Generous vacation

Sick leave

Retirement benefits

Insurance

Savings accounts

Job summary

University of Wisconsin is hiring a Data Scientist I to support the epidemiology of vascular contributions to cognitive impairment and dementia within the Neurology department. The role involves managing, harmonizing, and analyzing complex longitudinal cohort data using R, STATA, and/or SAS, and developing reproducible code for publication.

The analyst will contribute to predictive modeling, machine learning, and data visualization, and will assist in manuscript preparation and presentations at

Qualifications

• Experience managing and analyzing data from complex longitudinal cohort studies.
• Ability to develop reproducible data processing workflows and codebooks.
• Strong background in predictive modeling and high-dimensional data analysis.

Responsibilities

• Implements data science techniques to identify patterns and answer research questions.
• Document approaches and ensure reproducibility of analyses.
• Prepare data sets via cleaning, transformation, and integration of multiple sources.
• Create reproducible workflows and reports for researchers and administrators.
• Organize and automate project steps for data preparation and analysis.

Skills

R

STATA

SAS

Machine learning

Data visualization

Reproducible code

Education

Master's degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology

Job description

University of Wisconsin is hiring a Data Scientist I to support the epidemiology of vascular contributions to cognitive impairment and dementia within the Neurology department. The role involves managing, harmonizing, and analyzing complex longitudinal cohort data using R, STATA, and/or SAS, and developing reproducible code for publication.

The analyst will contribute to predictive modeling, machine learning, and data visualization, and will assist in manuscript preparation and presentations at