The Lifespan Brain Institute (LiBI) of CHOP and the University of Pennsylvania is building large-scale, multi-generational cohorts to understand the foundations of risk and resilience across families, and is seeking a Data Analyst I to support data integration, management, quality assurance, and analytical support for clinical and behavioral research projects.
Requirements
- Programming: Proficiency in R or Python for data analysis and statistical computing
- Data Visualization: Ability to create clear, publication-quality charts and graphs (ggplot2, Tableau, or similar)
- Experience with Git/GitHub for code and data management
- Familiarity with data cleaning, transformation, and preprocessing technique
- Advanced knowledge of database management, mining, analysis and statistics
- Intermediate knowledge of programming languages (SQL)
- Advanced proficiency with spreadsheet software (Microsoft Excel)
Responsibilities
- Extract, process, and integrate data from diverse sources including self-report questionnaires, cognitive assessments, behavioral measures, psychophysiological recordings, clinical procedures and electronic health records
- Develop and maintain data pipelines to ensure efficient and accurate data flow across multiple platforms
- Clean and standardize data from multiple sources (EHR, survey, behavioral, imaging, and physiological datasets)
- Conduct data quality checks and validations
- Supporting cohort building and longitudinal tracking of families across generations
- Collaborating with investigators, research staff to analyze data
- Producing reports and data visualizations to support scientific, operational, and clinical collaborations
Other
- Bachelor's Degree Required
- At least one (1) year data analysis or database management experience. Required
- Excellent verbal and written communications skills
- Strong critical thinking / problem-solving skills
- Ability to gather, analyze and make recommendations/decisions based on data
