Clinical Data Scientist

University of Wisconsin-Madison

Scientist II with expertise in data science and addiction science at UW Center for Tobacco Research and Intervention. Supporting research programs using machine learning models for personalized tobacco use treatment.

Posted 6/11/2026full-timeMadison • Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $85,000 per yearWebsite

About the role

Key responsibilities & impact

Identifies research problems, designs research methodologies, performs research, prepares data sets and analyses them using data science techniques, presents results for presentation to professional organizations or for scholarly publications
Collects and analyzes complex research data, conducts experiments and interviews, and documents results according to established policies and procedures under general supervision
Serves as a unit subject matter expert and liaison to internal and external stakeholders providing advanced level information and representing the interests of a specialized research area
Identifies research problems and develops complex research methodologies and procedures
May supervise the day-to-day activities of a research unit as needed
Writes or assists in developing grant applications and proposals to secure research funding
Attends and assists with the facilitation of scholarly events and presentations in support of continued professional development and the dissemination of research information
Conducts literature reviews, prepares reports and materials, and disseminates information to appropriate entities
Independently identifies and implements appropriate data science techniques to answer research questions including data set preparation, data visualization, statistical analysis, machine learning, reproducible workflows
Publishes and presents results to help advance research
Monitors program budget and approves unit expenditures

Requirements

What you’ll need

5 years of experience in tobacco and/or other addiction research
5 years of experience working in clinical trials research setting
Experience using R and the tidyverse/tidymodels ecosystem for data analysis and machine learning
Demonstrated track record of successful research program (e.g., first-authored publications, research grants) appropriate to career stage

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data science techniquesdata analysisstatistical analysismachine learningdata visualizationreproducible workflowsresearch methodologiesgrant writingliterature reviewsreport preparation

Soft Skills

communicationcollaborationproblem-solvingsupervisionpresentation skillsstakeholder engagementorganizational skillsfacilitationindependenceattention to detail