Data Scientist

Vanderbilt University Medical Center

Data Scientist applies advanced statistical methods and machine learning to support university research. Collaborating with interdisciplinary teams for data insights and reporting.

Posted 7/7/2026part-timeNashville • Tennessee • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Conducts advanced computational analyses of human behavioral and neuroscience datasets to support research initiatives.
Performs data preprocessing, cleaning, organization, quality assessment, and transformation to prepare data for statistical and computational analysis.
Applies advanced statistical methodologies, machine learning algorithms, and AI models to identify patterns, generate predictions, and evaluate research outcomes.
Develops computational models and analytical frameworks to characterize relationships between human data and artificial intelligence-based models.
Designs, implements, and maintains data workflows, analytical pipelines, and reproducible computational processes.
Analyzes datasets to identify trends, opportunities, and insights that support institutional and research goals.
Creates scientific figures, data visualizations, and analytical summaries to communicate complex findings effectively.
Documents analytical methodologies, computational approaches, code, and research workflows.
Produces detailed technical reports describing analysis results, interpretations, and recommendations.
Collaborates with faculty researchers, laboratory personnel, and interdisciplinary teams to define project objectives and deliver analytical support.
Communicates findings and recommendations to key stakeholders, research partners, and university leadership.
Coordinates moderately complex analytics projects by managing timelines, deliverables, and communication across research teams.
Provides weekly project updates summarizing completed analyses, progress toward objectives, challenges, and upcoming goals.
Recommends improvements to data systems, analytical processes, and research methodologies based on benchmarking and performance evaluation.
Ensures compliance with data privacy standards by working exclusively with appropriately anonymized human research data.
Shares relevant code, analytical tools, and computational pipelines developed through research activities with collaborating laboratories.

Requirements

What you’ll need

4 or more years of experience performing data analysis, statistical modeling, machine learning, computational research, or related technical work
Basic data science and statistics
Master’s or PhD degree in data science, Computer Science, Statistics, Mathematics, Neuroscience, Psychology, Engineering, or a related quantitative field

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data PreprocessingStatistical MethodologiesMachine Learning AlgorithmsAI ModelsAnalytical FrameworksData WorkflowsAnalytical PipelinesComputational ProcessesTechnical ReportingData Cleaning

Soft Skills

CollaborationCommunicationProject Management

Certifications

Master’s DegreePhD Degree