Support data quality control, processing, and exploratory analysis for genomics and next-generation proteomics platforms
Work with structured biological datasets and contribute to standardized QC and data processing workflows
Conduct basic exploratory data analysis and generate summary statistics and visualizations
Support organization of databases in shared repositories for traceability, version control, and reproducibility
Assist with documentation of data workflows, QC outcomes, and analysis assumptions
Gain introductory exposure to automation or AI-enabled approaches for data QC

Requirements

Pursuing a Bachelor’s degree in Data Science/Statistics, Engineering, Computer Science, Bioinformatics, or a related quantitative discipline
Familiarity with common data manipulation, visualization, and analysis libraries in Python/R (e.g., pandas / tidyverse) and Linux systems or MATLAB through coursework or projects
Must be able to work full-time (35-40 hours/week) throughout the duration of the 12 week internship (May/June ~ August 2026)
Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program
Post-doctoral candidates are not eligible

Benefits

Competitive hourly pay rate and benefits
Relocation stipend for eligible candidates who live outside 50 miles from assigned work location

Applicant Tracking System Keywords

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

Hard Skills & Tools

data quality controldata processingexploratory data analysissummary statisticsvisualizationsdata manipulationdata visualizationdata analysisPythonR