Related skills
r sql python pandas tableau📋 Description
- Aggregate historical statistical datasets (Excel, SAS JMP, and LIMS) used in bioanalytical workflows
- Design and implement processes to standardize data structures, variable definitions, and metadata
- Develop Python or R pipelines to clean, transform, and consolidate data into a centralized dataset
- Collaborate with immunogenicity bioanalysis and statistics SMEs to ensure scientific context
- Build reusable code/workflows for ongoing ingestion of new statistical outputs
- Develop data dictionaries, schema definitions, and documentation describing standardized datasets
🎯 Requirements
- Rising junior/senior in a 4-year college pursuing a Bachelor’s or Master’s in a quantitative field
- Programming in Python or R with data-analysis libraries (pandas, tidyverse)
- Experience with structured datasets (CSV, Excel, relational databases)
- Familiarity with data cleaning, transformation, and feature engineering
- Basic knowledge of SQL or relational databases
- Experience with data visualization tools (Plotly, Tableau, Power BI) is a plus
🎁 Benefits
- Summer internship May–Aug 2026
- 30-40 hours per week
- Hybrid office/remote work environment
- Mentorship from statisticians and scientists
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