Data Scientist II/III

University of Wisconsin-Madison

Data Scientist developing tools for health equity analysis at UW Population Health Institute. Combining statistical analysis with data science practices using R, Python, and SQL.

Posted 7/29/2026full-timeMadison • Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $85,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced proficiency in statistical analysis and programming with Python and R, alongside expertise in data visualization and workflow management. Capable of developing reproducible research methodologies and automating data preparation processes to support health-related applied research.

Highest-signal resume keywords

Python ProgrammingR ProgrammingData VisualizationStatistical AnalysisWorkflow Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData TransformationData IntegrationMachine LearningData MiningQuality AssuranceAnalytic Approach DevelopmentData Quality Frameworks

Tools & Technologies

GitHubShinyQuartoStreamlitDash

Industry Keywords

Health-Related Applied ResearchNational Mortality DataCommunity Health DataHealth IndicatorsSocial Media Mining

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
Organizes and automates project steps for data preparation and analysis

Requirements

What you’ll need

At least five years of relevant experience in health-related applied research, statistics, and analytics.
Advanced proficiency with statistical software and programming languages, specifically Python and R.
Experience using and managing workflows in open-source platforms like GitHub, for version control, code management and collaboration.
Proficiency in interactive web dashboards and applications built with tools such as Shiny, Quarto, Streamlit or Dash for visualizing and disseminating data.
Experience manipulating and analyzing a variety of datasets including, national mortality, community health, health indicators and outcomes, including non-traditional data sources such as (grassroots reporting/social media mining).
Experience developing analytic approaches to support continued improvement of data management, analysis, visualization and presentation, including the development of data quality frameworks.

Benefits

Comp & perks

generous vacation, holidays, and sick leave
competitive insurances and savings accounts
retirement benefits