Contingent Summer Research Analyst Intern

The CKD study uses 5 years of structured EHR data from a large private nephrology practice with over 50000 patients. The study aims to:

• Build standardized analysis-ready analytic files (SAFs) spanning
• Assess feasibility of longitudinal data elements (labs prescriptions disease history)
• Characterize CD patients using contemporary clinical and treatment data
• Evaluate the availability of specific variables (imaging genetics family history) in unstructured clinical records

The intern will be embedded in an active project team that includes biostatisticians epidemiologists data scientists and clinical nephrologists and will contribute to analytic work from day one.

• Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data
• Conduct descriptive analyses of patient demographics lab values medication use and clinical characteristics
• Summarize data availability follow-up patterns and measurement frequency across CKD subgroups
• Support feasibility assessments by generating counts proportions and distributional summaries
• Produce clean well-documented analytic code and contribute to draft tables and figures
• Participate in biweekly internal team meetings and client meetings and contribute to written deliverables

Required:

• Currently enrolled in a graduate program (MPH MS PhD or equivalent) in biostatistics epidemiology data science health informatics or a related field
• Proficiency in Python R or SAS for data manipulation and descriptive analysis
• Comfort working with big data large messy real-world datasets
• Strong attention to detail and ability to write clean reproducible well-commented code
• Ability to work independently with remote supervision
• Comfort using AI-assisted coding tools (e.g. Claude GitHub Copilot)

Preferred:

• Familiarity with EHR data or claims-based data
• Experience with longitudinal data structures (e.g. repeated lab measurements time-to-event)
• Experience with version control (Git)

• Duration: approximately July 1 August 29 2026 (flexible start; contingent on contract execution)
• Hours: full-time (40 hrs/week) or near full-time
• Location: fully remote; no travel required
• Compensation: paid internship (rate commensurate with experience)
• Supervisor: Brian Bieber MS Research Scientist Data Science

Submit a CV and a brief cover letter (1 page max) describing your relevant experience and availability. Applications will be reviewed on a rolling basis early submission is strongly encouraged given the July start date.

$27 USD per hour

Required Experience:

Intern