Social Data Scientist — Longitudinal Cohort Analytics

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

Job summary

The University of Wisconsin–Madison invites a Data Scientist I to join the Caunca Research Lab within the School of Medicine and Public Health. You will manage, harmonize, and analyze complex longitudinal data from diverse sources using R, STATA, and SAS.

You will develop reproducible code, support manuscripts and presentations, supervise students, and help design analytic plans for future studies. Some work may be onsite with remote options.

Qualifications

• Experience analyzing complex longitudinal data and coordinating multi-source datasets.
• Ability to develop reproducible codebooks and workflows for publication.
• Familiarity with causal inference methods and social epidemiology is preferred.

Responsibilities

• Document approaches to address research questions and data needs.
• Automate data preparation, cleaning, transformation, and integration across sources.
• Prepare datasets for analysis with quality control and transformations.
• Apply data science techniques (visualization, statistics, ML) to answer research questions.
• Draft reproducible reports and contribute to manuscripts and conference presentations.

Skills

Effective communication

Team collaboration

Code reproducibility

Education

Master's in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology

Tools

R

STATA

SAS

Job description

The University of Wisconsin–Madison invites a Data Scientist I to join the Caunca Research Lab within the School of Medicine and Public Health. You will manage, harmonize, and analyze complex longitudinal data from diverse sources using R, STATA, and SAS.

You will develop reproducible code, support manuscripts and presentations, supervise students, and help design analytic plans for future studies. Some work may be onsite with remote options.