Data Analyst

Vanderbilt University•Nashville, TN

About The Position

The Data Analyst will play a central role in supporting the empirical work of the Logan Lab across multiple federally funded research projects. This position is well-suited for a quantitatively skilled researcher who thrives on working with complex datasets, values methodological rigor, and wants to contribute to publishable scientific work. The analyst will work closely with Dr. Logan and other lab members on all phases of the research process, from data preparation to dissemination.

Requirements

Bachelor's degree in quantitative methods, statistics, psychology, education, data science, or a closely related field
Strong quantitative skills and demonstrated experience with statistical analysis
Proficiency in at least one statistical computing environment (R strongly preferred; Python, Stata, or SAS also considered)
Experience with data cleaning and management of real-world, messy datasets
Excellent written communication skills, including the ability to write clearly for scientific audiences
Ability to work independently, manage multiple project timelines, and meet deadlines
Strong attention to detail and commitment to reproducible, transparent research practices

Nice To Haves

Master's degree in quantitative methods, educational measurement, biostatistics, developmental psychology, or a related quantitative field
Experience with longitudinal data analysis, multilevel modeling, or structural equation modeling
Background in or knowledge of child development, learning disabilities, or education research
Experience contributing to peer-reviewed publications or conference presentations

Responsibilities

Clean, organize, and document datasets from multiple concurrent research projects in accordance with best practices for reproducibility and data sharing
Build and maintain data management systems, codebooks, and standard operating procedures
Conduct quality assurance checks to ensure data integrity across collection, entry, and storage pipelines
Support compliance with federal data sharing and open science requirements (e.g., NIH Data Management and Sharing Policy)
Conduct quantitative analyses including descriptive statistics, regression modeling, longitudinal and growth curve models, and other methods appropriate to grant aims
Work with large, complex datasets from educational and developmental research contexts
Select and apply appropriate statistical methods to address research questions related to child development and academic outcomes
Develop and maintain well-documented, reproducible analysis scripts (e.g., in R or Python)
Collaborate with the PI and lab members to interpret findings and plan follow-up analyses
Contribute to the writing and revision of peer-reviewed manuscripts for publication in developmental and educational science journals
Prepare data summaries, tables, and figures suitable for manuscripts, grant reports, and presentations
Support the preparation of progress reports and other deliverables required by federal funding agencies
Assist with literature reviews and background sections for manuscripts and grant materials
Work collaboratively with postdoctoral researchers, doctoral students, and master's students on shared projects
Participate in lab meetings, journal clubs, and research discussions
Assist with grant-related tasks as needed, including supporting new proposals
Contribute to a positive, inclusive, and productive lab environment