Biological Data Scientist

University of Wisconsin-Madison

. Manage, coordinate, and transform multiple longitudinal cohort studies .

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 cohort study data using R, STATA, or SAS, while ensuring reproducibility through effective coding practices and documentation. Capable of developing recommendations based on statistical analysis and collaborating on academic manuscripts and presentations.

Highest-signal resume keywords

Data Management Systems DevelopmentStatistical Analysis Using R, STATA, SASCausal Inference MethodsData Visualization TechniquesEpidemiology or Biostatistics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical MethodsMachine LearningData MiningData CleaningData TransformationReproducible Code WritingCode ReviewSurvey Instrument DesignGeocoding

Soft Skills

Team CommunicationMentoring

Industry Keywords

Cohort StudiesNeuroimagingBiomarkersEpidemiologyBiostatistics

About the role

Key responsibilities & impact

Manage, coordinate, and transform multiple longitudinal cohort studies
Support research on biological drivers of vascular contributions to cognitive impairment and dementia, including neuroimaging and blood-based biomarkers
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 students and fellow staff conducting or interpreting analyses
Develop recommendations based on research findings
Prepare manuscripts and presentations for academic conferences and key stakeholders
Design analytic plans for future studies
Implement data science techniques including data visualization, statistical analysis, machine learning, and data mining
Document approaches to research questions
Prepare datasets through cleaning, quality assurance, transformations, restructuring, and integration
Compose reproducible workflows and reports
Organize and automate data preparation and analysis steps

Requirements

What you’ll need

Managing, analyzing, and interpreting research data from complex cohort studies in R and/or STATA and/or SAS
Manage and analyze data according to established statistical methods
Oversee the work of students and fellow staff who conduct data analysis
Develop recommendations based on research findings
Participate in preparation of independent and collaborative manuscripts and presentations
Participate in 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)
Cover letter required
Resume required

Benefits

Comp & perks

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