Social Data Scientist - Epidemiology & Causal Inference

UW School of Medicine and Public Health; Madison (WI); Hybrid; USD 60,000 - 88,000; Full time

Job summary

The University of Wisconsin–Madison is seeking a Data Scientist to manage and analyze complex longitudinal cohort data in Neurology research. You will harmonize data, develop reproducible code, and collaborate on manuscripts and presentations.

The role involves supervising students and staff, designing analytic plans for future studies, and contributing to community stakeholder briefings. Some work may be onsite with remote options.

Qualifications

• Experience managing, analyzing, and interpreting data from complex longitudinal cohort studies.
• Experience with R, STATA, and SAS for data analysis.
• Ability to develop reproducible code and data management workflows.

Responsibilities

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

Skills

R

STATA

SAS

causal inference

longitudinal data

Education

Master's degree in public health/biostatistics/epidemiology

PhD in public health/biostatistics/epidemiology or related data science

Tools

R

STATA

SAS

Job description

The University of Wisconsin–Madison is seeking a Data Scientist to manage and analyze complex longitudinal cohort data in Neurology research. You will harmonize data, develop reproducible code, and collaborate on manuscripts and presentations.

The role involves supervising students and staff, designing analytic plans for future studies, and contributing to community stakeholder briefings. Some work may be onsite with remote options.