Social Data Scientist

University of Wisconsin-Madison

. Support research on the epidemiology of vascular contributions to cognitive impairment and dementia .

Posted 11/9/2026full-timeMadison • Wisconsin • United StatesJuniorMid-Level💰 $60,000 - $88,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing and analyzing complex research data, particularly in epidemiology and biostatistics, while effectively communicating findings and recommendations to diverse stakeholders. Proficient in developing reproducible workflows and utilizing statistical methods for data analysis and visualization.

Highest-signal resume keywords

Data Management Systems DevelopmentStatistical Analysis Using R, STATA, or SASEpidemiology and Biostatistics ExpertiseCausal Inference Methods KnowledgeReproducible Code Writing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsData VisualizationMachine LearningData MiningData CleaningQuality AssuranceSurvey Instrument DesignCohort Study ManagementCode Review

Soft Skills

Team CommunicationMentoringPresentation SkillsCollaboration

Certifications & Qualifications

Master's Degree in Public HealthMaster's Degree in BiostatisticsMaster's Degree in EpidemiologyPhD in Public HealthPhD in BiostatisticsPhD in Epidemiology

Industry Keywords

EpidemiologyBiostatisticsCognitive ImpairmentDementiaLongitudinal Cohort StudiesSocial Drivers of HealthResearch FindingsAcademic ConferencesData CollectionPublic Health

About the role

Key responsibilities & impact

Support research on the epidemiology of vascular contributions to cognitive impairment and dementia
Support projects focused on social drivers of vascular contributions to cognitive impairment and dementia
Manage, coordinate, and transform multiple longitudinal cohort studies
Develop data management systems and code for merging, harmonizing, and analyzing complex data
Manage, analyze, and interpret data from surveys, laboratory assays, neuroimaging, geocoding, event data, and administrative linkages
Optimize reproducibility through codebooks and publishable reproducible code
Analyze data according to established statistical methods
Oversee the work of students and fellow staff conducting or interpreting analyses
Develop recommendations based on research findings
Participate in preparing independent and collaborative manuscripts
Present at academic conferences and to key stakeholders, including community organizations
Design analytic plans for future studies
Document approaches to address research questions
Organize and automate project steps for data preparation and analysis
Prepare datasets through cleaning, quality assurance, transformations, restructuring, and integration of multiple data sources
Implement data science techniques including data visualization, statistical analysis, machine learning, and data mining
Compose reproducible workflows and reports articulating patterns to researchers and administrators

Requirements

What you’ll need

Managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS
Managing and analyzing data according to established statistical methods
Ability to oversee the work of students and fellow staff conducting data analysis
Ability to develop recommendations based on research findings
Participation in preparing independent and collaborative manuscripts
Participation in presentations at academic conferences and to key stakeholders
Experience designing subsequent waves of data collection, including sampling strategies, survey instruments, and questionnaires
Working knowledge of causal inference methods and/or prediction modeling
Ability to effectively communicate in a team setting
Ability to write reproducible code, conduct code review, and post code publicly for reproducibility
At least 1–2 years of experience working in an epidemiology or biostatistics group (preferred)
Master's degree in public health, biostatistics, epidemiology, or other data science is preferred for Data Scientist I or II
PhD in public health, biostatistics, epidemiology, or other data science is preferred for Data Scientist III
Cover letter required
Resume required
Employment may require a criminal background check

Benefits

Comp & perks

Generous vacation, holidays, and sick leave
Competitive insurances and savings accounts
Retirement benefits