Biological Data Scientist – Epidemiology & Neuroimaging

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

Benefits offered by this job

Generous vacation and holidays

Sick leave and retirement benefits

Competitive insurance and savings

Job summary

The University of Wisconsin–Madison is hiring a research-focused Biological Data Scientist to support longitudinal epidemiology work on vascular contributions to cognitive impairment and dementia.

The role involves data visualization, statistical analysis, machine learning, and data mining to address lead-research questions, along with developing reproducible workflows and data management systems for complex datasets.

Qualifications

• Experience with longitudinal cohort data and epidemiology research.
• Ability to oversee students and staff performing data analysis.
• Strong communication of methods and findings to researchers and stakeholders.

Responsibilities

• Apply data science techniques to identify data patterns and answer lead-research questions.
• Prepare datasets through cleaning, transformations, integration of sources.
• Build reproducible workflows and reports for researchers and administrators.
• Develop data management systems for merging and harmonizing complex datasets.
• Contribute to manuscripts and presentations for conferences and stakeholders.

Skills

data visualization

statistical analysis

machine learning

data mining

causal inference methods

prediction modeling

code reproducibility

Education

Master’s degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology

Tools

R

STATA

SAS

Job description

The University of Wisconsin–Madison is hiring a research-focused Biological Data Scientist to support longitudinal epidemiology work on vascular contributions to cognitive impairment and dementia.

The role involves data visualization, statistical analysis, machine learning, and data mining to address lead-research questions, along with developing reproducible workflows and data management systems for complex datasets.